pacman::p_load(sf, tidyverse, tmap, spdep, funModeling)Take-home Exercise 1: Geospatial Analytics for Social Good
The Task
The specific tasks of this take-home exercise are as follows:
Using appropriate sf method, import the shapefile into R and save it in a simple feature data frame format. Note that there are three Projected Coordinate Systems of Nigeria, they are: EPSG: 26391, 26392, and 26303. We can use any one of them.
Using appropriate tidyr and dplyr methods, derive the proportion of functional and non-functional water point at LGA level.
Combining the geospatial and aspatial data frame into simple feature data frame.
Performing outliers/clusters analysis by using appropriate local measures of spatial association methods.
Performing hotspot areas analysis by using appropriate local measures of spatial association methods.
Thematic Mapping
- Plot maps to show the spatial distribution of functional and non-functional water point rate at Local Government Area (LGA) level by using appropriate thematic mapping technique provided by tmap package.
Analytical Mapping
- Plot hotspot areas and outliers/clusters maps of functional and non-functional water point rate at LGA level by using appropriate thematic mapping technique provided by tmap package.
Overview
Geospatial analytics hold tremendous potential to address complex problems faced by society. In this study, we are tasked to apply appropriate global and local measures of spatial association techniques to reveals the spatial patterns of non-functional water points. For the purpose of this study, Nigeria will be used as the study country.
Installing & Loading R Packages
In the code chunk below, p_load() of pacman package is used to install and load the following R packages into R environment:
sf
tidyverse
tmap
spdep
funModeling, to be used for rapid Exploratory Data Analysis
The Data
Aspatial data
For the purpose of this exercise, data from WPdx Global Data Repositories will be used. There are two versions of the data. They are: WPdx-Basic and WPdx+. We are required to use WPdx+ data set.
Geospatial data
Nigeria Level-2 Administrative Boundary (also known as Local Government Area) polygon features GIS data will be used in this exercise. The data can be downloaded either from The Humanitarian Data Exchange portal or geoBoundaries.
Importing Geospatial Data
Two geospatial data sets used are:
geo_exportnga_admbnda_adm2_osgof_20190417
Importing water point geospatial data
First, we are going to import the water point geospatial data (i.e. geo_export) by using the code chunk below.
(Since we have previously used this data set in the in-class exercise, we will use the data directly from there.)
wp <- st_read(dsn = "C:/Jacobche/ISSS624/In-class_Ex/rawdata",
layer = "geo_export",
crs = 4326) %>%
filter(clean_coun == "Nigeria")Things to learn from the code chunk above:
st_read() of sf package is used to import
geo_exportshapefile into R environment and save the imported geospatial data into simple feature data table.filter() of dplyr package is used to extract water point records of Nigeria only.
Note: Avoid performing transformation if you plan to use st_intersects() of sf package in the later stage of the geoprocessing. This is because st_intersects() only works correctly if the geospatial data are in geographic coordinate system (i.e wgs84).
Next, write_rds() of readr package is used to save the extracted sf data table (i.e. wp) into an output file in rds data format. The output file is called wp_nga.rds and it is saved in rawdata sub-folder, which will not be uploaded to Git.
wp_nga <- write_rds(wp,
"C:/Jacobche/ISSS624/In-class_Ex/rawdata/wp_nga.rds")Importing Nigeria LGA boundary data
Now, we are going to import the LGA boundary data into R environment by using the code chunk below.
nga <- st_read(dsn = "C:/Jacobche/ISSS624/In-class_Ex/data",
layer = "nga_admbnda_adm2_osgof_20190417",
crs = 4326)Reading layer `nga_admbnda_adm2_osgof_20190417' from data source
`C:\Jacobche\ISSS624\In-class_Ex\data' using driver `ESRI Shapefile'
Simple feature collection with 774 features and 16 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: 2.668534 ymin: 4.273007 xmax: 14.67882 ymax: 13.89442
Geodetic CRS: WGS 84Thing to learn from the code chunk above.
- st_read() of sf package is used to import
nga_admbnda_adm2_osgof_20190417shapefile into R environment and save the imported geospatial data into simple feature data table.
Data Wrangling
Recoding NA values into string
In the code chunk below, replace_na() is used to recode all the NA values in status_cle field into Unknown.
wp_nga <- read_rds("C:/Jacobche/ISSS624/In-class_Ex/rawdata/wp_nga.rds") %>%
mutate(status_cle = replace_na(status_cle, "Unknown"))Exploratory Data Analysis
In the code chunk below, freq() of funModeling package is used to display the distribution of status_cle field in wp_nga.
freq(data=wp_nga,
input = 'status_cle')
status_cle frequency percentage cumulative_perc
1 Functional 45883 48.29 48.29
2 Non-Functional 29385 30.93 79.22
3 Unknown 10656 11.22 90.44
4 Functional but needs repair 4579 4.82 95.26
5 Non-Functional due to dry season 2403 2.53 97.79
6 Functional but not in use 1686 1.77 99.56
7 Abandoned/Decommissioned 234 0.25 99.81
8 Abandoned 175 0.18 99.99
9 Non functional due to dry season 7 0.01 100.00Extracting Water Point Data
In this section, we will extract the water point records by using classes in status_cle field.
Extracting functional water point
In the code chunk below, filter() of dplyr is used to select functional water points.
wpt_functional <- wp_nga %>%
filter(status_cle %in%
c("Functional",
"Functional but not in use",
"Functional but needs repair"))Exploratory Data Analysis (functional)
In the code chunk below, freq() of funModeling package is used to display the distribution of status_cle field in wpt_functional.
freq(data=wpt_functional,
input = 'status_cle')
status_cle frequency percentage cumulative_perc
1 Functional 45883 87.99 87.99
2 Functional but needs repair 4579 8.78 96.77
3 Functional but not in use 1686 3.23 100.00Extracting non-functional water point
In the code chunk below, filter() of dplyr is used to select non-functional water points.
wpt_nonfunctional <- wp_nga %>%
filter(status_cle %in%
c("Abandoned/Decommissioned",
"Abandoned",
"Non-Functional",
"Non functional due to dry season",
"Non-Functional due to dry season"))Exploratory Data Analysis (non-functional)
In the code chunk below, freq() of funModeling package is used to display the distribution of status_cle field in wpt_nonfunctional.
freq(data=wpt_nonfunctional,
input = 'status_cle')
status_cle frequency percentage cumulative_perc
1 Non-Functional 29385 91.25 91.25
2 Non-Functional due to dry season 2403 7.46 98.71
3 Abandoned/Decommissioned 234 0.73 99.44
4 Abandoned 175 0.54 99.98
5 Non functional due to dry season 7 0.02 100.00Extracting water point with Unknown class
In the code chunk below, filter() of dplyr is used to select water points with unknown status.
wpt_unknown <- wp_nga %>%
filter(status_cle == "Unknown")Performing Point-in-Polygon Count
The code chunk below performs two operations at one go. Firstly, identify water points located inside each LGA by using st_intersects(). Next, length() of Base R is used to calculate numbers of water points that fall inside each LGA.
nga_wp <- nga %>%
mutate(`total wpt` = lengths(
st_intersects(nga, wp_nga))) %>%
mutate(`wpt functional` = lengths(
st_intersects(nga, wpt_functional))) %>%
mutate(`wpt non-functional` = lengths(
st_intersects(nga, wpt_nonfunctional))) %>%
mutate(`wpt unknown` = lengths(
st_intersects(nga, wpt_unknown)))Saving the Analytical Data Table
The code chunk below computes the proportion of functional and non-functional water point at LGA level.
nga_wp <- nga_wp %>%
mutate(pct_functional = `wpt functional`/`total wpt`) %>%
mutate(`pct_non-functional` = `wpt non-functional`/`total wpt`) %>%
select(3:4, 9:10, 18:23)Things to learn from the code chunk above:
mutate() of dplyr package is used to derive two fields namely
pct_functionalandpct_non-functional.to keep the file size small, select() of dplyr is used to retain only fields 3, 4, 9, 10, 18, 19, 20, 21, 22 and 23.
Now, we have the tidy sf data table for subsequent analysis. We will save the sf data table into rds format.
write_rds(nga_wp, "C:/Jacobche/ISSS624/In-class_Ex/data/nga_wp.rds")Visualising the spatial distribution of water points
The code below uses qtm() of tmap package to plot side-by-side choropleth maps showing the spatial water points distribution by LGA levels in Nigeria.
nga_wp <- read_rds("C:/Jacobche/ISSS624/In-class_Ex/data/nga_wp.rds")
total <- qtm(nga_wp, "total wpt") +
tm_layout(scale = 0.7)
wp_functional <- qtm(nga_wp, "wpt functional")+
tm_layout(scale = 0.7)
wp_nonfunctional <- qtm(nga_wp, "wpt non-functional")+
tm_layout(scale = 0.6)
unknown <- qtm(nga_wp, "wpt unknown")+
tm_layout(scale = 0.7)
tmap_arrange(total, wp_functional, wp_nonfunctional, unknown, nrow=2, ncol=2)
Next we will create an interactive choropleth map for non-functional water points which would allow us to zoom in for a closer look.
tmap_mode("view")
tm_shape(nga_wp) +
tm_polygons("wpt non-functional",
breaks = c(0, 71, 141, 211, 280),
palette = "Reds") +
tm_layout(title= "Spatial Distribution of Non-functional Water Points") +
tm_scale_bar()tmap_mode("plot")From the map, we can see that the distribution of non-functional water points is not even with LGAs like Ifelodun and Igabi having a higher concentration than others. Nevertheless, there seem to be areas where they are clustered - i.e. around the Central and Western region of Nigeria.
Global Spatial Autocorrelation
In order to confirm our observation of signs of spatial clustering, we will make use of global autocorrection technique. We will compute the global spatial autocorrelation statistics and perform spatial complete randomness test for global spatial autocorrelation.
Computing Contiguity Spatial Weights
Before we can compute the global spatial autocorrelation statistics, we need to construct a spatial weights of the study area. The spatial weights is used to define the neighbourhood relationships between the geographical units (i.e. LGA) in the study area.
The code chunk below uses poly2nb() of spdep package to compute the Queen contiguity weight matrix for Nigeria.
wm_q <- poly2nb(nga_wp,
queen=TRUE)
set.ZeroPolicyOption(TRUE)[1] FALSEsummary(wm_q)Neighbour list object:
Number of regions: 774
Number of nonzero links: 4440
Percentage nonzero weights: 0.7411414
Average number of links: 5.736434
1 region with no links:
86
Link number distribution:
0 1 2 3 4 5 6 7 8 9 10 11 12 14
1 2 14 57 125 182 140 122 72 41 12 4 1 1
2 least connected regions:
138 560 with 1 link
1 most connected region:
508 with 14 linksThe summary report above shows that there are 774 LGAs in Nigeria. The most connected LGA has 14 neighbours. There are two LGAs with only one neighbours.
Row-standardised weights matrix
Next, we need to assign weights to each neighboring polygon. In our case, each neighboring polygon will be assigned equal weight (style=“W”).
rswm_q <- nb2listw(wm_q,
style="W",
zero.policy = TRUE)
rswm_qCharacteristics of weights list object:
Neighbour list object:
Number of regions: 774
Number of nonzero links: 4440
Percentage nonzero weights: 0.7411414
Average number of links: 5.736434
1 region with no links:
86
Weights style: W
Weights constants summary:
n nn S0 S1 S2
W 773 597529 773 285.0658 3198.414Global Spatial Autocorrelation: Moran’s I
Maron’s I test
The code chunk below performs Moran’s I statistical testing using moran.test() of spdep.
moran.test(nga_wp$`wpt non-functional`,
listw=rswm_q,
zero.policy = TRUE,
na.action=na.omit)
Moran I test under randomisation
data: nga_wp$`wpt non-functional`
weights: rswm_q n reduced by no-neighbour observations
Moran I statistic standard deviate = 20.043, p-value < 2.2e-16
alternative hypothesis: greater
sample estimates:
Moran I statistic Expectation Variance
0.433932927 -0.001295337 0.000471516 From the Moran’s I test since the p-value < 2.2e-16 which is approximately 0, we can reject the null hypothesis at 99% confidence interval and can conclude that the distribution of non-functional water points in the LGAs are not randomly distributed. As the Moran I statistic = 0.433932927 > 0, we can infer that there is sign of “clustered” spatial pattern.
Computing Monte Carlo Moran’s I
The code chunk below performs permutation test for Moran’s I statistic by using moran.mc() of spdep. A total of 1000 simulation will be performed.
set.seed(1234)
bperm= moran.mc(nga_wp$`wpt non-functional`,
listw=rswm_q,
nsim=999,
zero.policy = TRUE,
na.action=na.omit)
bperm
Monte-Carlo simulation of Moran I
data: nga_wp$`wpt non-functional`
weights: rswm_q
number of simulations + 1: 1000
statistic = 0.43393, observed rank = 1000, p-value = 0.001
alternative hypothesis: greaterFrom the Monte Carlo simulation since the p-value = 0.001, we can reject the null hypothesis at 99% confidence interval and can conclude that the distribution of non-functional water points in the LGAs are not randomly distributed. As the Moran I statistic = 0.43393 > 0, we can infer that there is sign of “clustered” spatial pattern.
Global Spatial Autocorrelation: Geary’s
Geary’s C test
The code chunk below performs Geary’s C test for spatial autocorrelation by using geary.test() of spdep.
geary.test(nga_wp$`wpt non-functional`, listw=rswm_q)
Geary C test under randomisation
data: nga_wp$`wpt non-functional`
weights: rswm_q
Geary C statistic standard deviate = 14.457, p-value < 2.2e-16
alternative hypothesis: Expectation greater than statistic
sample estimates:
Geary C statistic Expectation Variance
0.6170907765 1.0000000000 0.0007014859 From the Geary’s C test since the p-value < 2.2e-16 which is approximately 0, we can reject the null hypothesis at 99% confidence interval and can conclude that the distribution of non-functional water points in the LGAs are not randomly distributed. As the Geary C statistic = 0.6170907765 < 1, we can again infer that there is sign of “clustered” spatial pattern.
Computing Monte Carlo Geary’s C
The code chunk below performs permutation test for Geary’s C statistic by using geary.mc() of spdep.
set.seed(1234)
bperm=geary.mc(nga_wp$`wpt non-functional`,
listw=rswm_q,
nsim=999)
bperm
Monte-Carlo simulation of Geary C
data: nga_wp$`wpt non-functional`
weights: rswm_q
number of simulations + 1: 1000
statistic = 0.61709, observed rank = 1, p-value = 0.001
alternative hypothesis: greaterFrom the Monte Carlo simulation since the p-value = 0.001, we can reject the null hypothesis at 99% confidence interval and can conclude that the distribution of non-functional water points in the LGAs are not randomly distributed. As the Geary C statistic = 0.61709 < 1, we can again infer that there is sign of “clustered” spatial pattern.
Cluster and Outlier Analysis
Local Indicators of Spatial Association (LISA) are statistics that evaluate the existence of clusters in the spatial arrangement of a given variable. We will apply appropriate LISA, especially the local Moran’s I to detect cluster and/or outlier from non-functional water points of Nigeria.
Computing local Moran’s I
To compute local Moran’s I, the localmoran() function of spdep will be used. It computes Ii values, given a set of zi values and a listw object providing neighbour weighting information for the polygon associated with the zi values. The code chunks below are used to compute local Moran’s I of non-functional water points at the LGA level.
fips <- order(nga_wp$ADM2_EN)
localMI <- localmoran(nga_wp$`wpt non-functional`, rswm_q)
head(localMI) Ii E.Ii Var.Ii Z.Ii Pr(z != E(Ii))
1 -0.32365786 -9.995243e-04 1.924638e-01 -0.73547576 0.46204980
2 0.07000542 -4.092463e-05 1.053077e-02 0.68258288 0.49487045
3 1.25819985 -1.627684e-03 4.181728e-01 1.94819847 0.05139122
4 -0.03537489 -5.427505e-05 5.954304e-03 -0.45773361 0.64714384
5 0.01201533 -2.590965e-04 3.988998e-02 0.06145673 0.95099547
6 0.00768085 -1.538445e-07 1.687859e-05 1.86960486 0.06153871The code chunk below lists the content of the local Moran matrix derived by using printCoefmat(). Additionally, paste() of base R is used since ADM2_EN contains duplicated name but from different ADM2_PCODE.
printCoefmat(data.frame(localMI[fips,],
row.names= paste(nga_wp$ADM2_PCODE,nga_wp$ADM2_EN)[fips]),
check.names=FALSE) Ii E.Ii Var.Ii Z.Ii
NG001001 Aba North -3.2366e-01 -9.9952e-04 1.9246e-01 -7.3548e-01
NG001002 Aba South 7.0005e-02 -4.0925e-05 1.0531e-02 6.8258e-01
NG008001 Abadam 1.2582e+00 -1.6277e-03 4.1817e-01 1.9482e+00
NG015001 Abaji -3.5375e-02 -5.4275e-05 5.9543e-03 -4.5773e-01
NG003001 Abak 1.2015e-02 -2.5910e-04 3.9890e-02 6.1457e-02
NG011001 Abakaliki 7.6808e-03 -1.5384e-07 1.6879e-05 1.8696e+00
NG028001 Abeokuta North 2.3716e-01 -6.6542e-04 8.5226e-02 8.1464e-01
NG028002 Abeokuta South 1.3499e-01 -6.9507e-05 1.3396e-02 1.1669e+00
NG009001 Abi 5.8469e-01 -3.9167e-04 6.0293e-02 2.3828e+00
NG017001 Aboh-Mbaise 1.9145e-01 -2.2881e-04 2.5098e-02 1.2099e+00
NG033001 Abua/Odual 6.7485e-01 -7.6926e-04 8.4332e-02 2.3265e+00
NG015002 Abuja Municipal 1.3484e-01 -9.2780e-04 8.8869e-02 4.5543e-01
NG023001 Adavi 1.6286e-02 -4.0925e-05 6.3021e-03 2.0567e-01
NG007001 Ado -3.1655e-02 -2.9456e-05 2.8239e-03 -5.9514e-01
NG028003 Ado-Odo/Ota -3.1637e-01 -1.0254e-02 1.1135e+00 -2.9010e-01
NG013001 Ado Ekiti 6.8612e-02 -9.2780e-04 1.4275e-01 1.8406e-01
NG031001 Afijio 2.4270e-02 -1.9868e-05 5.1126e-03 3.3971e-01
NG011002 Afikpo North 5.8712e-01 -1.1792e-03 1.8138e-01 1.3814e+00
NG011003 Afikpo South -8.6368e-03 -8.6620e-05 1.1101e-02 -8.1152e-02
NG027001 Agaie -2.1125e-02 -1.8249e-05 2.8103e-03 -3.9815e-01
NG007002 Agatu -6.1300e-02 -1.4475e-04 2.2288e-02 -4.0963e-01
NG025001 Agege 2.8968e-01 -1.3297e-03 3.4172e-01 4.9782e-01
NG004001 Aguata 8.3857e-01 -1.1920e-03 1.8334e-01 1.9612e+00
NG027002 Agwara 1.5893e-03 -2.7477e-05 5.2960e-03 2.2217e-02
NG017002 Ahiazu-Mbaise 1.3175e-01 -8.6620e-05 9.5025e-03 1.3525e+00
NG033002 Ahoada East 8.0063e-01 -9.3914e-04 1.8085e-01 1.8849e+00
NG033003 Ahoada West 8.4077e-01 -1.6277e-03 2.5025e-01 1.6840e+00
NG030001 Aiyedade -1.9940e-03 -1.2099e-02 1.3113e+00 8.8241e-03
NG030002 Aiyedire 3.0859e-01 -2.2324e-04 2.4486e-02 1.9735e+00
NG013002 Aiyekire (Gbonyin) 2.5468e-01 -3.1865e-04 3.0540e-02 1.4592e+00
NG023002 Ajaokuta 9.3035e-03 -6.3380e-06 8.1230e-04 3.2665e-01
NG025002 Ajeromi-Ifelodun 1.0902e+00 -1.5504e-03 3.9834e-01 1.7298e+00
NG020001 Ajingi 8.0526e-02 -1.9868e-05 2.5464e-03 1.5962e+00
NG009002 Akamkpa 2.2617e-01 -2.7477e-05 3.0145e-03 4.1198e+00
NG031002 Akinyele -1.7370e-01 -3.5422e-04 3.8849e-02 -8.7950e-01
NG016001 Akko 3.6215e+00 -1.7248e-02 1.6251e+00 2.8544e+00
NG012001 Akoko-Edo -9.7994e-02 -6.9507e-05 4.8271e-03 -1.4094e+00
NG029001 Akoko North East 2.6132e+00 -5.7830e-03 6.3080e-01 3.2975e+00
NG029002 Akoko North West 1.8731e+00 -1.5753e-02 2.9886e+00 1.0926e+00
NG029003 Akoko South East 2.9695e+00 -3.9022e-03 7.4920e-01 3.4353e+00
NG029004 Akoko South West 4.0806e+00 -1.3638e-02 2.0716e+00 2.8446e+00
NG009003 Akpabuyo 7.7463e-01 -8.2075e-03 1.5690e+00 6.2497e-01
NG033004 Akuku Toru 7.5445e-01 -1.3297e-03 3.4172e-01 1.2929e+00
NG029005 Akure North -9.4511e-02 -2.0041e-04 2.5680e-02 -5.8852e-01
NG029006 Akure South -4.0892e-01 -1.0618e-03 2.7294e-01 -7.8067e-01
NG026001 Akwanga 1.7264e-02 -1.8555e-06 3.5764e-04 9.1300e-01
NG020002 Albasu -6.0666e-01 -4.4019e-03 6.7490e-01 -7.3309e-01
NG022001 Aleiro 3.8136e-02 -1.0903e-05 2.1016e-03 8.3213e-01
NG025003 Alimosho -2.6481e-01 -9.2780e-04 1.0170e-01 -8.2749e-01
NG005001 Alkaleri -3.6486e-01 -1.7389e-04 1.6668e-02 -2.8247e+00
NG025004 Amuwo-Odofin 6.4059e-01 -1.0618e-03 1.0169e-01 2.0122e+00
NG004002 Anambra East 5.2295e-01 -6.1632e-04 7.8942e-02 1.8634e+00
NG004003 Anambra West 5.1817e-01 -5.6910e-04 5.4530e-02 2.2214e+00
NG004004 Anaocha 6.8852e-01 -7.1640e-04 7.8541e-02 2.4593e+00
NG033005 Andoni 7.4747e-01 -8.8063e-04 2.2641e-01 1.5727e+00
NG014001 Aninri 5.8669e-01 -1.6277e-03 2.5025e-01 1.1760e+00
NG010001 Aniocha North 9.1402e-01 -1.2599e-03 2.4254e-01 1.8585e+00
NG010002 Aniocha South 7.1930e-01 -1.3297e-03 1.4569e-01 1.8880e+00
NG037001 Anka -3.0961e-02 -5.2377e-04 8.0617e-02 -1.0720e-01
NG023003 Ankpa 3.2899e-03 -3.3373e-07 3.6614e-05 5.4375e-01
NG007003 Apa 7.1599e-02 -2.9126e-04 4.4841e-02 3.3949e-01
NG025005 Apapa 1.1170e+00 -1.6277e-03 2.0827e-01 2.4512e+00
NG035001 Ardo-Kola 5.9556e-01 -6.0715e-04 7.7767e-02 2.1378e+00
NG022002 Arewa-Dandi -7.0312e-02 -2.9456e-05 2.8239e-03 -1.3226e+00
NG022003 Argungu 4.0210e-02 -3.1865e-04 4.9056e-02 1.8298e-01
NG001003 Arochukwu 9.0458e-02 -1.1259e-03 1.4414e-01 2.4123e-01
NG024001 Asa 6.6358e-02 -1.8555e-06 2.0357e-04 4.6511e+00
NG033006 Asari-Toru 9.9615e-01 -1.1259e-03 4.3469e-01 1.5126e+00
NG008002 Askira/Uba 9.5142e-01 -1.1259e-03 9.5720e-02 3.0788e+00
NG030003 Atakumosa East 1.5763e+00 -2.3901e-03 3.6719e-01 2.6053e+00
NG030004 Atakumosa West 1.3676e+00 -3.5471e-03 3.0082e-01 2.4999e+00
NG031003 Atiba 9.2471e-02 -1.4925e-04 1.4307e-02 7.7435e-01
NG031004 Atigbo -3.7128e-02 -8.3203e-05 1.0663e-02 -3.5875e-01
NG022004 Augie -3.1518e-02 -1.2649e-04 1.6210e-02 -2.4656e-01
NG018001 Auyo -9.2317e-03 -1.9519e-04 2.1411e-02 -6.1757e-02
NG026002 Awe -3.8035e-02 -2.3951e-06 2.2963e-04 -2.5098e+00
NG014002 Awgu 7.1490e-01 -1.0618e-03 1.3594e-01 1.9419e+00
NG004005 Awka North 8.4336e-01 -1.6277e-03 1.7829e-01 2.0012e+00
NG004006 Awka South 7.2523e-01 -9.9952e-04 1.5377e-01 1.8520e+00
NG004007 Ayamelum 5.3888e-01 -4.8031e-04 7.3931e-02 1.9837e+00
NG018002 Babura 3.4904e+00 -9.4838e-03 1.4466e+00 2.9099e+00
NG025006 Badagry 1.1262e+00 -3.3198e-03 8.5145e-01 1.2241e+00
NG036001 Bade -4.1318e-01 -3.9167e-04 7.5464e-02 -1.5026e+00
NG022005 Bagudo -1.6794e-01 -5.4275e-05 8.3578e-03 -1.8364e+00
NG020003 Bagwai -1.0457e-01 -3.8586e-05 4.2332e-03 -1.6066e+00
NG009005 Bakassi 0.0000e+00 0.0000e+00 0.0000e+00 NaN
NG021001 Bakori 9.7051e-02 -1.4925e-04 1.9126e-02 7.0284e-01
NG037002 Bakura 1.3239e-01 -1.1259e-03 1.4414e-01 3.5167e-01
NG016002 Balanga 8.6819e-01 -5.3489e-03 5.8371e-01 1.1434e+00
NG035002 Bali 2.8316e-01 -1.6128e-03 1.3704e-01 7.6927e-01
NG008003 Bama 1.2582e+00 -1.6277e-03 3.1322e-01 2.2510e+00
NG032001 Barikin Ladi 1.5674e+00 -3.2090e-03 4.0996e-01 2.4530e+00
NG024002 Baruten 1.5345e-02 -2.7477e-05 3.5215e-03 2.5904e-01
NG023004 Bassa 6.5838e-03 -9.8783e-04 9.4613e-02 2.4616e-02
NG032002 Bassa 7.6830e-02 -6.6449e-05 8.5158e-03 8.3329e-01
NG021002 Batagarawa 1.0339e-01 -8.3203e-05 9.1276e-03 1.0831e+00
NG021003 Batsari 1.3652e-02 -1.0184e-04 1.5681e-02 1.0983e-01
NG005002 Bauchi 1.1441e-01 -8.6620e-05 1.3338e-02 9.9137e-01
NG021004 Baure 1.7511e+00 -5.0690e-03 7.7665e-01 1.9927e+00
NG008004 Bayo 2.3957e-01 -3.9905e-04 6.1428e-02 9.6821e-01
NG020004 Bebeji -3.3289e-02 -9.9952e-04 1.5377e-01 -8.2343e-02
NG009006 Bekwara 1.3164e+00 -1.5358e-03 2.3615e-01 2.7122e+00
NG001004 Bende 4.0316e-01 -6.6542e-04 6.3753e-02 1.5994e+00
NG009007 Biase 1.8824e-01 -2.5316e-04 2.4265e-02 1.2100e+00
NG020005 Bichi -1.4448e-01 -1.0184e-04 1.3051e-02 -1.2638e+00
NG027003 Bida -2.7746e-01 -1.2649e-04 4.8883e-02 -1.2544e+00
NG016003 Billiri 2.5014e+00 -3.3198e-03 6.3776e-01 3.1364e+00
NG021005 Bindawa -6.5757e-02 -1.2235e-04 1.5680e-02 -5.2416e-01
NG034001 Binji -1.5657e-01 -3.5422e-04 4.5383e-02 -7.3329e-01
NG018003 Biriniwa -4.0714e-01 -7.5196e-03 9.5649e-01 -4.0861e-01
NG018004 Birni Kudu -5.2572e-04 -5.6910e-04 5.4530e-02 1.8579e-04
NG019001 Birnin-Gwari 1.4369e+00 -5.3489e-03 4.0699e-01 2.2607e+00
NG022006 Birnin Kebbi -3.8910e-01 -6.1632e-04 7.8942e-02 -1.3827e+00
NG037003 Birnin Magaji 2.8350e-01 -3.9905e-04 5.1123e-02 1.2556e+00
NG008005 Biu 1.1070e+00 -1.6277e-03 1.5580e-01 2.8086e+00
NG034002 Bodinga -3.9128e-03 -2.7477e-05 4.2313e-03 -5.9730e-02
NG005003 Bogoro -2.2763e-01 -2.2881e-04 5.8867e-02 -9.3725e-01
NG009008 Boki 2.6518e+00 -7.0234e-03 1.0740e+00 2.5656e+00
NG032003 Bokkos 5.0676e-01 -2.2324e-04 2.8605e-02 2.9976e+00
NG030005 Boluwaduro 3.1906e-01 -8.3203e-05 1.6036e-02 2.5203e+00
NG010003 Bomadi 6.1173e-01 -1.4014e-03 2.1550e-01 1.3208e+00
NG033007 Bonny 1.0868e+00 -1.6277e-03 2.0827e-01 2.3850e+00
NG027004 Borgu -1.6043e-01 -2.5910e-04 2.2046e-02 -1.0787e+00
NG030006 Boripe 1.1122e+00 -1.7723e-03 2.2675e-01 2.3395e+00
NG027005 Bosso -2.0497e-02 -1.4925e-04 1.9126e-02 -1.4713e-01
NG006001 Brass 2.9959e-01 -6.1632e-04 2.3806e-01 6.1529e-01
NG018005 Buji 4.5026e-03 -3.3373e-07 5.1394e-05 6.2812e-01
NG037004 Bukkuyum -3.1431e-02 -2.5910e-04 3.9890e-02 -1.5607e-01
NG037005 Bungudu 2.0237e-01 -8.8063e-04 1.1277e-01 6.0526e-01
NG020006 Bunkure 3.6342e-02 -1.2649e-04 1.3876e-02 3.0959e-01
NG022007 Bunza 8.8429e-01 -2.5835e-03 3.9683e-01 1.4079e+00
NG036002 Bursari 4.7994e-01 -5.2377e-04 5.0189e-02 2.1447e+00
NG007004 Buruku 5.0409e-01 -7.5901e-04 9.7204e-02 1.6193e+00
NG010004 Burutu 8.0259e-01 -1.4014e-03 2.6973e-01 1.5480e+00
NG015003 Bwari 3.2095e-01 -2.5316e-04 4.8784e-02 1.4543e+00
NG009010 Calabar-Municipal -5.6408e-01 -2.2881e-04 5.8867e-02 -2.3240e+00
NG009009 Calabar South 1.0900e-01 -3.8586e-05 7.4371e-03 1.2644e+00
NG027006 Chanchaga 1.4615e-02 -2.3951e-06 1.8538e-03 3.3950e-01
NG021006 Charanchi 5.5125e-02 -5.1577e-05 6.6100e-03 6.7866e-01
NG008006 Chibok 9.5921e-01 -1.0618e-03 2.7294e-01 1.8380e+00
NG019002 Chikun -9.5427e-01 -1.3297e-03 1.2731e-01 -2.6707e+00
NG020007 Dala -1.5215e-01 -1.2235e-04 2.3581e-02 -9.8999e-01
NG036003 Damaturu 1.0215e+00 -1.4014e-03 2.1550e-01 2.2035e+00
NG005004 Damban 1.7310e-02 -1.8249e-05 2.3389e-03 3.5830e-01
NG020008 Dambatta 5.8823e-01 -8.6966e-04 1.3381e-01 1.6104e+00
NG008007 Damboa 1.2015e+00 -1.6277e-03 1.5580e-01 3.0481e+00
NG021007 Dan Musa 1.9828e-01 -1.1259e-03 1.2339e-01 5.6767e-01
NG022008 Dandi 6.0353e-01 -5.2080e-03 9.9861e-01 6.0916e-01
NG021008 Dandume 2.5690e-02 -1.8555e-06 3.5764e-04 1.3585e+00
NG034003 Dange-Shuni 8.6937e-02 -1.2649e-04 1.3876e-02 7.3910e-01
NG021009 Danja -2.5042e-01 -2.9126e-04 3.7319e-02 -1.2948e+00
NG005005 Darazo 5.2452e-03 -1.0903e-05 1.1962e-03 1.5197e-01
NG005006 Dass 2.4361e-01 -3.6124e-04 1.3957e-01 6.5305e-01
NG021010 Daura 4.0067e-01 -8.1339e-04 2.0914e-01 8.7790e-01
NG020009 Dawakin Kudu -1.3898e-01 -4.3100e-04 5.5216e-02 -5.8963e-01
NG020010 Dawakin Tofa 5.3574e-01 -1.0618e-03 1.3594e-01 1.4559e+00
NG033008 Degema 8.9537e-01 -1.4749e-03 1.4120e-01 2.3867e+00
NG023005 Dekina 1.9339e-02 -8.1339e-04 1.5665e-01 5.0915e-02
NG002001 Demsa 7.6650e-01 -1.4014e-03 1.5353e-01 1.9598e+00
NG008008 Dikwa 1.2582e+00 -1.6277e-03 2.0827e-01 2.7606e+00
NG020011 Doguwa -8.4890e-03 -1.0903e-05 1.3974e-03 -2.2680e-01
NG026003 Doma -6.3606e-02 -5.4275e-05 4.6190e-03 -9.3509e-01
NG035003 Donga 1.1977e+00 -1.6128e-03 1.5437e-01 3.0525e+00
NG016004 Dukku 2.0702e+00 -5.2080e-03 5.6841e-01 2.7528e+00
NG004008 Dunukofia 5.5459e-01 -6.1632e-04 9.4853e-02 1.8027e+00
NG018006 Dutse -2.2400e-01 -1.4749e-03 1.4120e-01 -5.9220e-01
NG021011 Dutsi -2.0141e-01 -2.0041e-04 2.1983e-02 -1.3571e+00
NG021012 Dutsin-Ma -6.0268e-02 -6.0715e-04 7.7767e-02 -2.1394e-01
NG003002 Eastern Obolo 1.3772e-01 -3.9905e-04 6.1428e-02 5.5729e-01
NG011004 Ebonyi -8.3981e-03 -2.3951e-06 3.0697e-04 -4.7919e-01
NG027007 Edati 3.9793e-01 -1.6916e-03 6.5269e-01 4.9464e-01
NG030007 Ede North 5.9514e-02 -6.6449e-05 1.7098e-02 4.5565e-01
NG030008 Ede South -8.1927e-02 -6.3380e-06 5.3942e-04 -3.5272e+00
NG024003 Edu 5.1947e+00 -7.3523e-03 1.1239e+00 4.9069e+00
NG013003 Efon -6.0047e-01 -3.2531e-04 6.2682e-02 -2.3971e+00
NG028004 Egbado North 4.1374e-01 -3.2531e-04 5.0081e-02 1.8503e+00
NG028005 Egbado South -5.1956e-02 -1.4749e-03 2.2680e-01 -1.0600e-01
NG031005 Egbeda -5.0841e-02 -5.4275e-05 8.3578e-03 -5.5552e-01
NG030009 Egbedore 1.4958e-01 -5.1577e-05 4.9446e-03 2.1279e+00
NG012002 Egor 8.7695e-02 -2.0041e-04 5.1562e-02 3.8708e-01
NG017003 Ehime-Mbano 2.6769e-01 -3.2531e-04 5.0081e-02 1.1976e+00
NG030010 Ejigbo 6.3460e-01 -7.8598e-03 8.5553e-01 6.9459e-01
NG006002 Ekeremor 2.1155e-01 -1.4925e-04 2.8763e-02 1.2482e+00
NG003003 Eket 2.1926e-02 -1.0562e-04 2.0355e-02 1.5442e-01
NG024004 Ekiti 1.3996e+00 -5.9315e-03 7.5570e-01 1.6168e+00
NG013004 Ekiti East -1.0664e+00 -1.3297e-03 2.0450e-01 -2.3552e+00
NG013005 Ekiti South West 6.1959e-01 -1.2468e-03 1.3661e-01 1.6797e+00
NG013006 Ekiti West 6.6563e-01 -1.5358e-03 1.4701e-01 1.7400e+00
NG004009 Ekwusigo 8.4749e-01 -1.4014e-03 2.1550e-01 1.8286e+00
NG033009 Eleme 9.4563e-01 -1.6277e-03 2.0827e-01 2.0757e+00
NG033010 Emohua 6.9021e-01 -1.4749e-03 1.4120e-01 1.8408e+00
NG013007 Emure -7.7908e-01 -5.2377e-04 8.0617e-02 -2.7421e+00
NG014003 Enugu East 7.7086e-01 -1.3297e-03 2.0450e-01 1.7076e+00
NG014004 Enugu North 9.2093e-01 -1.5504e-03 2.3838e-01 1.8894e+00
NG014005 Enugu South 7.6545e-01 -1.5504e-03 3.9834e-01 1.2153e+00
NG025007 Epe -3.6995e-01 -1.7723e-03 1.6962e-01 -8.9396e-01
NG012003 Esan Central 3.0774e-01 -4.3874e-04 8.4529e-02 1.0600e+00
NG012004 Esan North East 2.7947e-01 -4.3874e-04 6.7535e-02 1.0771e+00
NG012005 Esan South East 3.0774e-01 -4.3874e-04 3.7324e-02 1.5952e+00
NG012006 Esan West 2.5330e-01 -5.2377e-04 6.7093e-02 9.7994e-01
NG029007 Ese-Odo -1.1965e-01 -8.1339e-04 1.2516e-01 -3.3591e-01
NG003004 Esit - Eket -6.6417e-02 -2.2324e-04 2.8605e-02 -3.9138e-01
NG003005 Essien Udim -9.9313e-03 -6.3380e-06 6.9535e-04 -3.7638e-01
NG033011 Etche 3.5951e-01 -9.9952e-04 1.0955e-01 1.0892e+00
NG010005 Ethiope East 1.7751e-01 -7.1640e-04 1.3799e-01 4.7979e-01
NG010006 Ethiope West 2.3959e-01 -5.6910e-04 8.7591e-02 8.1148e-01
NG025008 Eti-Osa 3.5680e-01 -1.6277e-03 2.5025e-01 7.1649e-01
NG003006 Etim Ekpo 5.9762e-04 -6.9507e-05 8.9077e-03 7.0684e-03
NG003007 Etinan -5.3116e-02 -2.0041e-04 3.0857e-02 -3.0124e-01
NG012007 Etsako Central 1.7582e-01 -1.4925e-04 2.2981e-02 1.1608e+00
NG012008 Etsako East 1.5230e-01 -3.2531e-04 2.7678e-02 9.1739e-01
NG012009 Etsako West 2.4259e-01 -3.6124e-04 3.9618e-02 1.2206e+00
NG009011 Etung 1.4001e+00 -1.6916e-03 4.3457e-01 2.1265e+00
NG028006 Ewekoro 5.2532e-01 -7.6926e-04 9.8516e-02 1.6761e+00
NG014006 Ezeagu 7.5812e-01 -9.3914e-04 1.4449e-01 1.9969e+00
NG017004 Ezinihitte 1.6424e-01 -4.8031e-04 7.3931e-02 6.0582e-01
NG011005 Ezza North 5.8749e-01 -8.6966e-04 1.1136e-01 1.7631e+00
NG011006 Ezza South 3.6410e-01 -3.1865e-04 4.9056e-02 1.6453e+00
NG020012 Fagge 1.8579e-01 -1.3297e-03 2.0450e-01 4.1378e-01
NG022009 Fakai -3.2768e-01 -9.3914e-04 1.0294e-01 -1.0184e+00
NG021013 Faskari 2.4600e-02 -1.3162e-03 1.2602e-01 7.3004e-02
NG036004 Fika 1.7425e-01 -1.3297e-03 1.1302e-01 5.2226e-01
NG002002 Fufore 1.1271e+00 -1.6277e-03 2.0827e-01 2.4733e+00
NG016005 Funakaye 9.0870e-01 -4.5316e-03 6.9469e-01 1.0957e+00
NG036005 Fune 5.8078e-01 -4.8031e-04 4.6027e-02 2.7094e+00
NG021014 Funtua -3.7568e-01 -5.6910e-04 8.7591e-02 -1.2675e+00
NG020013 Gabasawa -1.2497e-01 -1.3297e-03 1.7019e-01 -2.9970e-01
NG034004 Gada -1.3336e-01 -3.9905e-04 7.6885e-02 -4.7953e-01
NG018007 Gagarawa -2.0255e-01 -6.9507e-05 8.9077e-03 -2.1454e+00
NG005007 Gamawa -7.6106e-01 -1.0452e-02 1.3256e+00 -6.5195e-01
NG005008 Ganjuwa 2.7157e-02 -8.8063e-04 8.4354e-02 9.6537e-02
NG002003 Ganye 5.0818e-01 -1.2599e-03 2.4254e-01 1.0344e+00
NG018008 Garki 2.6512e-01 -1.9394e-03 1.8558e-01 6.1993e-01
NG020014 Garko -5.3344e-01 -8.8063e-04 9.6531e-02 -1.7141e+00
NG020015 Garum Mallam -1.6336e-02 -1.8555e-06 2.8574e-04 -9.6630e-01
NG035004 Gashaka 1.1751e-01 -5.1531e-04 9.9274e-02 3.7459e-01
NG035005 Gassol 1.3117e+00 -3.6636e-03 4.6782e-01 1.9231e+00
NG020016 Gaya -1.3765e-01 -1.4014e-03 2.6973e-01 -2.6234e-01
NG027008 Gbako 4.2520e-02 -9.8783e-04 1.5197e-01 1.1160e-01
NG007005 Gboko 7.7837e-01 -8.6966e-04 1.3381e-01 2.1302e+00
NG036006 Geidam 1.1322e+00 -1.6277e-03 2.0827e-01 2.4844e+00
NG020017 Gezawa -6.3029e-01 -2.3901e-03 3.6719e-01 -1.0362e+00
NG005009 Giade 4.9513e-02 -8.6620e-05 1.6694e-02 3.8387e-01
NG002005 Girei 1.0825e+00 -1.4749e-03 2.2680e-01 2.2762e+00
NG019003 Giwa 3.8218e+00 -8.7432e-03 7.3761e-01 4.4601e+00
NG033012 Gokana 1.0730e+00 -1.5504e-03 2.9837e-01 1.9672e+00
NG016006 Gombe -1.8102e-01 -6.3380e-06 2.4496e-03 -3.6574e+00
NG002004 Gombi 7.0598e-01 -6.1632e-04 7.8942e-02 2.5149e+00
NG034006 Goronyo 1.6376e-01 -2.0041e-04 2.5680e-02 1.0232e+00
NG008009 Gubio 1.2461e+00 -1.6277e-03 2.5025e-01 2.4942e+00
NG034007 Gudu -5.9560e-02 -3.2531e-04 8.3685e-02 -2.0476e-01
NG036007 Gujba 1.1415e+00 -1.6277e-03 1.7829e-01 2.7074e+00
NG036008 Gulani -2.9028e-01 -1.5504e-03 1.6983e-01 -7.0062e-01
NG007006 Guma 2.0483e-01 -3.5422e-04 3.0137e-02 1.1819e+00
NG018009 Gumel 3.8132e-01 -1.0059e-02 2.5625e+00 2.4450e-01
NG037006 Gummi 6.0271e-02 -3.9905e-04 4.3763e-02 2.9001e-01
NG027009 Gurara -1.8991e-02 -3.2531e-04 3.5679e-02 -9.8820e-02
NG018010 Guri -2.6016e-01 -4.8031e-04 5.2671e-02 -1.1315e+00
NG037007 Gusau -1.5029e-02 -6.9507e-05 6.6634e-03 -1.8326e-01
NG002006 Guyuk 2.5243e-01 -8.8063e-04 1.6959e-01 6.1511e-01
NG008010 Guzamala 1.2582e+00 -1.6277e-03 2.0827e-01 2.7606e+00
NG034005 Gwadabawa -1.6611e-02 -8.3203e-05 1.0663e-02 -1.6006e-01
NG015004 Gwagwalada 4.4939e-02 -8.3203e-05 1.0663e-02 4.3600e-01
NG020018 Gwale 1.2976e-01 -3.2531e-04 6.2682e-02 5.1958e-01
NG022010 Gwandu 3.3150e-02 -2.3901e-03 4.5958e-01 5.2424e-02
NG018011 Gwaram 1.7154e-01 -8.2400e-04 7.8934e-02 6.1351e-01
NG020019 Gwarzo 4.4473e-01 -9.9952e-04 1.2798e-01 1.2460e+00
NG007007 Gwer East 1.9014e-01 -1.2468e-03 1.0598e-01 5.8789e-01
NG007008 Gwer West -3.5537e-02 -5.2377e-04 6.7093e-02 -1.3517e-01
NG018012 Gwiwa 1.5685e-01 -3.9167e-04 5.0179e-02 7.0197e-01
NG008011 Gwoza 1.2582e+00 -1.6277e-03 3.1322e-01 2.2510e+00
NG018013 Hadejia 4.8530e-01 -1.6916e-03 4.3457e-01 7.3874e-01
NG008012 Hawul 1.0595e+00 -1.4749e-03 2.2680e-01 2.2278e+00
NG002007 Hong 1.0249e+00 -1.4749e-03 1.8875e-01 2.3625e+00
NG031006 Ibadan North -1.6524e-02 -1.3297e-03 2.0450e-01 -3.3600e-02
NG031007 Ibadan North East -2.9120e-02 -1.0903e-05 1.3974e-03 -7.7869e-01
NG031008 Ibadan North West 2.3890e-01 -2.5910e-04 3.9890e-02 1.1974e+00
NG031009 Ibadan South East 1.9144e-01 -1.1920e-03 1.8334e-01 4.4987e-01
NG031010 Ibadan South West 2.6967e-01 -2.5910e-04 4.9927e-02 1.2081e+00
NG023006 Ibaji 2.2770e-01 -2.0041e-04 2.1983e-02 1.5371e+00
NG031011 Ibarapa Central -2.2712e-01 -7.5901e-04 1.1680e-01 -6.6235e-01
NG031012 Ibarapa East 1.8845e-02 -4.0925e-05 5.2449e-03 2.6077e-01
NG031013 Ibarapa North -3.8965e-02 -5.6029e-04 8.6235e-02 -1.3078e-01
NG025009 Ibeju/Lekki 2.2390e-03 -1.0903e-05 4.2140e-03 3.4659e-02
NG003008 Ibeno 1.2904e-01 -8.2400e-04 1.2679e-01 3.6470e-01
NG003009 Ibesikpo Asutan -9.1998e-03 -1.4925e-04 2.2981e-02 -5.9702e-02
NG035006 Ibi -4.0001e-01 -2.9126e-04 3.1946e-02 -2.2364e+00
NG003010 Ibiono Ibom 1.3579e-02 -1.0562e-04 1.3535e-02 1.1762e-01
NG023007 Idah 6.7715e-02 -1.9868e-05 5.1126e-03 9.4731e-01
NG029008 Idanre 2.5630e-01 -1.6903e-04 1.4384e-02 2.1384e+00
NG017005 Ideato North 8.9115e-01 -1.3297e-03 1.2731e-01 2.5013e+00
NG017006 Ideato South 8.3080e-01 -1.1920e-03 2.2948e-01 1.7368e+00
NG004010 Idemili North 8.3572e-01 -1.4749e-03 1.6158e-01 2.0827e+00
NG004011 Idemili South 9.4127e-01 -1.3297e-03 1.7019e-01 2.2849e+00
NG031014 Ido 1.3369e-01 -1.4925e-04 1.4307e-02 1.1189e+00
NG013008 Ido-Osi -2.6395e-01 -1.4014e-03 2.1550e-01 -5.6557e-01
NG025010 Ifako-Ijaye -8.5516e-02 -4.8031e-04 7.3931e-02 -3.1274e-01
NG030011 Ife Central 1.2702e+00 -2.3901e-03 4.5958e-01 1.8772e+00
NG030012 Ife East 1.8042e+00 -3.5471e-03 6.8127e-01 2.1902e+00
NG030013 Ife North 5.3311e-01 -3.1865e-04 3.4949e-02 2.8534e+00
NG030014 Ife South 1.1625e+00 -9.2780e-04 1.1880e-01 3.3755e+00
NG030015 Ifedayo -2.4336e-01 -4.0925e-05 5.2449e-03 -3.3597e+00
NG029009 Ifedore 6.2924e-01 -2.4859e-03 2.7205e-01 1.2112e+00
NG024005 Ifelodun 7.9307e+00 -5.2576e-02 3.4595e+00 4.2921e+00
NG030016 Ifelodun 1.2027e+00 -1.1135e-03 2.8623e-01 2.2501e+00
NG028007 Ifo 1.2091e-01 -9.3914e-04 7.9854e-02 4.3119e-01
NG019004 Igabi 4.7157e+00 -2.8615e-02 2.3657e+00 3.0846e+00
NG023008 Igalamela-Odolu 5.1810e-01 -7.1640e-04 6.0928e-02 2.1019e+00
NG014007 Igbo-Etiti 6.0252e-01 -8.2400e-04 1.2679e-01 1.6944e+00
NG014008 Igbo-Eze North 7.8575e-01 -1.4014e-03 2.1550e-01 1.6956e+00
NG014009 Igbo-Eze South 9.7099e-01 -1.4014e-03 2.6973e-01 1.8723e+00
NG012010 Igueben 1.2618e-01 -1.7389e-04 2.2283e-02 8.4644e-01
NG004012 Ihiala 2.4753e-01 -1.4925e-04 1.6372e-02 1.9357e+00
NG017007 Ihitte/Uboma 3.1114e-01 -5.6910e-04 8.7591e-02 1.0532e+00
NG028008 Ijebu East -9.1066e-01 -1.4749e-03 1.2534e-01 -2.5680e+00
NG028009 Ijebu North -2.1566e-02 -5.4275e-05 5.2032e-03 -2.9822e-01
NG028010 Ijebu North East 1.0003e-02 -3.3373e-07 6.4326e-05 1.2473e+00
NG028011 Ijebu Ode 7.6232e-02 -6.1632e-04 1.1872e-01 2.2303e-01
NG013009 Ijero -2.1311e-01 -2.9930e-03 4.5953e-01 -3.0996e-01
NG023009 Ijumu 3.4728e-01 -3.9167e-04 3.7536e-02 1.7945e+00
NG003011 Ika -8.7294e-03 -3.3373e-07 6.4326e-05 -1.0884e+00
NG010007 Ika North East 6.1088e-01 -1.6277e-03 2.5025e-01 1.2244e+00
NG010008 Ika South 3.7480e-01 -8.8063e-04 1.6959e-01 9.1226e-01
NG019005 Ikara -3.3429e-01 -5.6910e-04 6.2402e-02 -1.3359e+00
NG017008 Ikeduru 2.8228e-01 -6.6542e-04 1.0240e-01 8.8420e-01
NG025011 Ikeja 7.8513e-01 -1.5504e-03 1.4841e-01 2.0421e+00
NG028012 Ikenne 2.9551e-01 -1.0618e-03 2.0444e-01 6.5590e-01
NG013010 Ikere 1.1550e-01 -1.4475e-04 2.2288e-02 7.7463e-01
NG013011 Ikole 3.1773e-01 -6.5588e-04 7.1911e-02 1.1873e+00
NG009012 Ikom 1.7514e+00 -1.8549e-03 2.3729e-01 3.5991e+00
NG003012 Ikono 2.8249e-02 -1.9868e-05 2.1798e-03 6.0548e-01
NG025012 Ikorodu -7.1532e-02 -4.3100e-04 6.6345e-02 -2.7604e-01
NG003013 Ikot Abasi 4.7478e-02 -6.9507e-05 1.0703e-02 4.5959e-01
NG003014 Ikot Ekpene 6.4821e-03 -8.6620e-05 2.2288e-02 4.3999e-02
NG012011 Ikpoba-Okha 3.1590e-02 -1.9868e-05 2.1798e-03 6.7706e-01
NG033013 Ikwerre 4.3466e-01 -1.4749e-03 2.8387e-01 8.1859e-01
NG011007 Ikwo 1.6600e-01 -2.7477e-05 3.5215e-03 2.7978e+00
NG001005 Ikwuano -1.4055e-02 -1.8555e-06 2.3780e-04 -9.1131e-01
NG030017 Ila 1.0542e+00 -5.6029e-04 6.1436e-02 4.2556e+00
NG029010 Ilaje -4.6502e-02 -6.6542e-04 1.2817e-01 -1.2803e-01
NG029011 Ile-Oluji-Okeigbo 1.7965e+00 -2.2962e-03 3.5280e-01 3.0285e+00
NG013012 Ilejemeji -2.0831e-01 -3.2531e-04 6.2682e-02 -8.3073e-01
NG030018 Ilesha East 4.5466e-01 -1.9519e-04 3.7616e-02 2.3452e+00
NG030019 Ilesha West 1.0931e-01 -1.0903e-05 2.1016e-03 2.3847e+00
NG034008 Illela -9.5441e-02 -1.0497e-03 2.6985e-01 -1.8171e-01
NG024006 Ilorin East -3.2929e-01 -4.0925e-05 7.8878e-03 -3.7072e+00
NG024007 Ilorin South -1.7755e-01 -1.2162e-05 2.3443e-03 -3.6668e+00
NG024008 Ilorin West 5.6912e-01 -2.2324e-04 3.4370e-02 3.0710e+00
NG028013 Imeko-Afon -2.7842e-01 -1.6277e-03 2.5025e-01 -5.5330e-01
NG021015 Ingawa -2.2698e-02 -3.9905e-04 3.3949e-02 -1.2102e-01
NG003015 Ini 2.3604e-01 -7.1640e-04 9.1751e-02 7.8162e-01
NG028014 Ipokia -3.1866e-01 -2.5910e-04 4.9927e-02 -1.4250e+00
NG029012 Irele 3.4339e-01 -2.2324e-04 4.3019e-02 1.6567e+00
NG031015 Irepo -2.1322e-02 -1.2162e-05 2.3443e-03 -4.4012e-01
NG024009 Irepodun 6.6949e+00 -1.1886e-02 1.5053e+00 5.4665e+00
NG030020 Irepodun 5.6083e-03 -1.5384e-07 3.9589e-05 8.9137e-01
NG013013 Irepodun/Ifelodun -2.1211e-01 -1.2649e-04 1.2126e-02 -1.9251e+00
NG030021 Irewole 1.6871e-01 -6.6449e-05 1.0232e-02 1.6685e+00
NG034009 Isa 2.2350e-01 -9.9952e-04 1.2798e-01 6.2755e-01
NG013014 Ise/Orun -3.6619e-01 -1.5504e-03 1.9839e-01 -8.1866e-01
NG031016 Iseyin -6.0131e-03 -8.2400e-04 7.8934e-02 -1.8470e-02
NG011008 Ishielu 4.5740e-01 -1.6916e-03 1.8527e-01 1.0666e+00
NG014010 Isi-Uzo -1.8197e-02 -1.8555e-06 1.5792e-04 -1.4479e+00
NG001006 Isiala-Ngwa North 6.1303e-03 -1.0562e-04 1.6263e-02 4.8899e-02
NG001007 Isiala-Ngwa South -2.2750e-02 -5.4275e-05 5.9543e-03 -2.9412e-01
NG017009 Isiala Mbano 1.3585e-01 -5.4275e-05 6.9558e-03 1.6296e+00
NG024010 Isin 1.6027e+00 -2.2324e-04 5.7433e-02 6.6885e+00
NG001008 Isiukwuato 4.3276e-01 -5.6910e-04 8.7591e-02 1.4642e+00
NG030022 Isokan 1.3356e-01 -5.1577e-05 7.9423e-03 1.4992e+00
NG010009 Isoko North 1.8036e-01 -2.9126e-04 5.6124e-02 7.6255e-01
NG010010 Isoko South 2.2985e-01 -5.2377e-04 8.0617e-02 8.1138e-01
NG017010 Isu 8.0179e-01 -1.4749e-03 2.8387e-01 1.5076e+00
NG005010 Itas/Gadau -1.3378e-02 -2.3951e-06 2.2963e-04 -8.8267e-01
NG031017 Itesiwaju -1.9886e-01 -1.1259e-03 2.1678e-01 -4.2469e-01
NG003016 Itu 2.5139e-02 -1.0903e-05 2.1016e-03 5.4861e-01
NG011009 Ivo 2.9981e-01 -5.6910e-04 7.2897e-02 1.1125e+00
NG031018 Iwajowa -2.7264e-01 -1.3875e-03 1.7758e-01 -6.4368e-01
NG030023 Iwo 2.9537e-04 -1.5384e-07 2.3692e-05 6.0714e-02
NG011010 Izzi -2.3819e-01 -1.4925e-04 2.2981e-02 -1.5702e+00
NG019006 Jaba 1.8019e+00 -2.4859e-03 3.8186e-01 2.9200e+00
NG002008 Jada 1.0926e+00 -1.4014e-03 3.6011e-01 1.8231e+00
NG018014 Jahun 4.1537e-02 -1.9868e-05 2.5464e-03 8.2353e-01
NG036009 Jakusko -1.3994e-01 -1.3297e-03 1.4569e-01 -3.6315e-01
NG035007 Jalingo 2.7125e-01 -2.5316e-04 6.5130e-02 1.0638e+00
NG005011 Jama'are -2.1869e-03 -1.9868e-05 3.8295e-03 -3.5019e-02
NG022011 Jega 5.1413e-02 -8.1339e-04 1.0416e-01 1.6182e-01
NG019007 Jema'a 2.2660e+00 -1.2313e-02 1.5586e+00 1.8249e+00
NG008013 Jere 1.3567e-01 -1.9868e-05 3.8295e-03 2.1926e+00
NG021016 Jibia -1.3819e-01 -8.6620e-05 1.3338e-02 -1.1958e+00
NG032004 Jos East 1.5263e-01 -1.2235e-04 1.5680e-02 1.2199e+00
NG032005 Jos North -1.3166e-01 -2.0041e-04 3.8621e-02 -6.6893e-01
NG032006 Jos South 7.8292e-01 -1.7723e-03 2.7245e-01 1.5033e+00
NG023010 Kabba/Bunu -4.1586e-02 -1.2162e-05 1.5588e-03 -1.0530e+00
NG020020 Kabo 3.3748e-01 -1.4014e-03 1.5353e-01 8.6487e-01
NG019008 Kachia 3.6773e-01 -1.4607e-03 1.6002e-01 9.2290e-01
NG019009 Kaduna North 7.0376e-01 -7.5901e-04 1.9517e-01 1.5947e+00
NG019010 Kaduna South -1.3855e+00 -1.1259e-03 2.8941e-01 -2.5733e+00
NG018015 Kafin Hausa -1.3986e-01 -1.5504e-03 1.9839e-01 -3.1053e-01
NG021017 Kafur 1.0373e-01 -2.5910e-04 3.3198e-02 5.7075e-01
NG008014 Kaga 1.2280e+00 -1.6277e-03 2.5025e-01 2.4579e+00
NG019011 Kagarko 6.9862e-01 -7.0234e-03 7.6514e-01 8.0671e-01
NG024011 Kaiama 1.6859e-01 -1.5358e-03 1.9653e-01 3.8375e-01
NG021018 Kaita 3.2156e-01 -3.2090e-03 4.0996e-01 5.0722e-01
NG031019 Kajola -8.3787e-02 -1.6903e-04 4.3490e-02 -4.0097e-01
NG019012 Kajuru -9.5898e-01 -9.3914e-04 7.9854e-02 -3.3903e+00
NG008015 Kala/Balge 1.2582e+00 -1.6277e-03 4.1817e-01 1.9482e+00
NG022012 Kalgo 2.6952e-01 -8.1339e-04 1.2516e-01 7.6413e-01
NG016007 Kaltungo 2.4358e+00 -1.4607e-03 2.2462e-01 5.1426e+00
NG032007 Kanam 3.0479e-01 -1.0497e-03 1.1505e-01 9.0170e-01
NG021019 Kankara 1.1181e-01 -2.9126e-04 3.1946e-02 6.2722e-01
NG032008 Kanke 7.3786e-01 -2.1140e-03 3.2487e-01 1.2983e+00
NG021020 Kankia 4.7488e-03 -2.9456e-05 3.2316e-03 8.4055e-02
NG020021 Kano Municipal -1.8739e-01 -1.2235e-04 1.8840e-02 -1.3644e+00
NG036010 Karasuwa 2.6079e-01 -7.1640e-04 1.1024e-01 7.8760e-01
NG020022 Karaye -4.5621e-02 -3.8586e-05 5.9420e-03 -5.9133e-01
NG035008 Karim-Lamido 5.2632e-01 -8.6966e-04 6.6469e-02 2.0448e+00
NG026004 Karu 6.3472e-01 -5.1531e-04 4.3835e-02 3.0341e+00
NG005012 Katagum -3.6917e-02 -1.2162e-05 1.3343e-03 -1.0103e+00
NG027010 Katcha -2.1227e-01 -6.1632e-04 9.4853e-02 -6.8723e-01
NG021021 Katsina 2.5970e-01 -3.1865e-04 8.1973e-02 9.0818e-01
NG007009 Katsina-Ala 2.7703e-01 -1.2235e-04 1.3422e-02 2.3923e+00
NG018016 Kaugama -2.6231e-02 -1.0562e-04 1.0125e-02 -2.5965e-01
NG019013 Kaura 3.8165e-01 -2.8497e-04 5.4911e-02 1.6299e+00
NG037008 Kaura Namoda 2.5215e-01 -4.8031e-04 9.2535e-02 8.3049e-01
NG019014 Kauru 2.2014e-01 -1.4475e-04 2.2288e-02 1.4755e+00
NG018017 Kazaure 1.4889e+00 -4.1483e-03 4.5323e-01 2.2178e+00
NG026005 Keana -9.4618e-03 -2.3951e-06 4.6165e-04 -4.4025e-01
NG034010 Kebbe -8.3087e-02 -1.4925e-04 1.9126e-02 -5.9971e-01
NG026006 Keffi -2.3081e-01 -5.6910e-04 2.1983e-01 -4.9106e-01
NG033014 Khana 4.3336e-01 -4.8031e-04 4.0859e-02 2.1463e+00
NG020023 Kibiya 2.9650e-03 -3.3373e-07 6.4326e-05 3.6973e-01
NG005013 Kirfi -8.1591e-02 -1.2162e-05 1.8730e-03 -1.8850e+00
NG018018 Kiri Kasamma 7.6751e-01 -3.2090e-03 4.0996e-01 1.2037e+00
NG020024 Kiru -4.4130e-02 -8.3203e-05 9.1276e-03 -4.6103e-01
NG018019 Kiyawa -8.1356e-01 -2.3901e-03 3.6719e-01 -1.3387e+00
NG023011 Kogi -6.4567e-04 -1.5384e-07 2.3692e-05 -1.3262e-01
NG022013 Koko/Besse -1.7906e-02 -3.1000e-03 3.9608e-01 -2.3526e-02
NG026007 Kokona 2.8901e-02 -5.4386e-06 5.2141e-04 1.2659e+00
NG006003 Kolokuma/Opokuma 4.1120e-01 -1.5504e-03 3.9834e-01 6.5397e-01
NG008016 Konduga 1.1281e+00 -1.6277e-03 1.2431e-01 3.2043e+00
NG007010 Konshisha 1.0935e+00 -1.9394e-03 2.1236e-01 2.3771e+00
NG027011 Kontagora -3.9073e-02 -1.0562e-04 2.7175e-02 -2.3638e-01
NG025013 Kosofe 5.7842e-01 -1.1920e-03 2.2948e-01 1.2099e+00
NG019015 Kubau -3.1227e-01 -4.8031e-04 7.3931e-02 -1.1467e+00
NG019016 Kudan 1.7688e+00 -1.9394e-03 2.4808e-01 3.5552e+00
NG015005 Kuje 3.2529e-01 -9.8783e-04 1.5197e-01 8.3697e-01
NG008017 Kukawa 1.2582e+00 -1.6277e-03 4.1817e-01 1.9482e+00
NG020025 Kumbotso 2.9856e-01 -9.9952e-04 7.6385e-02 1.0839e+00
NG020026 Kunchi 6.7138e-02 -7.1640e-04 1.3799e-01 1.8267e-01
NG020027 Kura -1.8849e-03 -1.8555e-06 3.5764e-04 -9.9571e-02
NG021022 Kurfi 1.2681e-01 -6.5588e-04 1.0094e-01 4.0121e-01
NG035009 Kurmi 7.5819e-01 -1.5358e-03 2.3615e-01 1.5634e+00
NG021023 Kusada 1.0092e-01 -1.4014e-03 2.6973e-01 1.9701e-01
NG015006 Kwali 2.6045e-01 -9.2780e-04 2.3853e-01 5.3517e-01
NG016008 Kwami 2.1905e+00 -2.9930e-03 3.8244e-01 3.5469e+00
NG007011 Kwande 3.4467e-01 -1.9519e-04 2.5012e-02 2.1806e+00
NG034011 Kware -9.2051e-02 -5.1577e-05 4.9446e-03 -1.3083e+00
NG008018 Kwaya Kusar 1.0582e+00 -1.5504e-03 2.9837e-01 1.9401e+00
NG026008 Lafia 6.2038e-01 -2.5835e-03 2.4705e-01 1.2534e+00
NG031020 Lagelu 1.7886e-03 -8.3203e-05 9.1276e-03 1.9592e-02
NG025014 Lagos Island 8.6984e-01 -8.8063e-04 1.6959e-01 2.1144e+00
NG025015 Lagos Mainland 1.0537e+00 -1.4749e-03 2.2680e-01 2.2157e+00
NG002009 Lamurde -1.5843e-01 -1.6277e-03 2.0827e-01 -3.4359e-01
NG032009 Langtang North 1.4196e+00 -2.4859e-03 2.7205e-01 2.7264e+00
NG032010 Langtang South -1.1870e-02 -3.3373e-07 6.4326e-05 -1.4799e+00
NG027012 Lapai 8.4157e-02 -2.0041e-04 2.5680e-02 5.2641e-01
NG035010 Lau -2.5992e-01 -1.1792e-03 1.1292e-01 -7.6999e-01
NG027013 Lavun -1.3204e-01 -5.4275e-05 1.0461e-02 -1.2904e+00
NG019017 Lere -2.5568e-01 -9.2780e-04 1.4275e-01 -6.7426e-01
NG007012 Logo 4.0363e-01 -3.5422e-04 5.4530e-02 1.7300e+00
NG023012 Lokoja -2.3647e-01 -6.1632e-04 4.7118e-02 -1.0865e+00
NG036011 Machina -2.0137e-01 -1.1259e-03 1.7320e-01 -4.8117e-01
NG002010 Madagali 1.1675e+00 -1.6277e-03 3.1322e-01 2.0889e+00
NG020028 Madobi 1.8047e-01 -3.2531e-04 3.1178e-02 1.0239e+00
NG008019 Mafa 1.0717e+00 -1.6277e-03 2.0827e-01 2.3518e+00
NG027014 Magama 1.0032e-02 -5.4386e-06 6.9703e-04 3.8020e-01
NG008020 Magumeri 1.1648e+00 -1.4749e-03 1.6158e-01 2.9014e+00
NG021024 Mai'adua 1.3145e-01 -4.5316e-03 6.9469e-01 1.6314e-01
NG008021 Maiduguri 6.3142e-01 -1.3297e-03 5.1324e-01 8.8323e-01
NG018020 Maigatari 4.2948e-03 -1.5384e-07 2.3692e-05 8.8239e-01
NG002011 Maiha 1.0689e+00 -1.3297e-03 2.5595e-01 2.1153e+00
NG022014 Maiyama 2.4269e-01 -1.4475e-04 1.8549e-02 1.7830e+00
NG020029 Makoda -1.7618e-01 -1.4749e-03 1.6158e-01 -4.3463e-01
NG007013 Makurdi -2.0568e-02 -1.9868e-05 3.8295e-03 -3.3204e-01
NG018021 Malam Madori -7.2227e-01 -6.1632e-04 9.4853e-02 -2.3432e+00
NG021025 Malumfashi 3.5764e-01 -5.6910e-04 8.7591e-02 1.2103e+00
NG032011 Mangu 1.3249e+00 -3.1000e-03 3.9608e-01 2.1101e+00
NG021026 Mani 8.6679e-02 -2.2324e-04 2.8605e-02 5.1382e-01
NG037009 Maradun 1.2453e-01 -1.4925e-04 1.2701e-02 1.1063e+00
NG027015 Mariga 2.2996e-01 -3.1865e-04 2.7112e-02 1.3986e+00
NG019018 Markafi -1.1691e+00 -1.4014e-03 2.6973e-01 -2.2484e+00
NG008022 Marte 1.2582e+00 -1.6277e-03 3.1322e-01 2.2510e+00
NG037010 Maru 3.2091e-02 -5.1577e-05 4.3894e-03 4.8516e-01
NG027016 Mashegu -2.2500e-02 -2.9456e-05 2.8239e-03 -4.2285e-01
NG021027 Mashi 4.0696e-01 -2.8497e-04 5.4911e-02 1.7379e+00
NG021028 Matazu -4.1196e-02 -3.8586e-05 7.4371e-03 -4.7726e-01
NG002012 Mayo-Belwa 2.5996e-01 -1.4014e-03 1.1910e-01 7.5733e-01
NG017011 Mbaitoli 4.1673e-01 -7.6926e-04 6.5421e-02 1.6323e+00
NG003017 Mbo 2.4038e-02 -6.9507e-05 1.3396e-02 2.0828e-01
NG002013 Michika 1.0360e+00 -1.2599e-03 3.2380e-01 1.8228e+00
NG018022 Miga 5.3008e-02 -1.5504e-03 2.3838e-01 1.1174e-01
NG032012 Mikang 2.2082e+00 -2.4859e-03 6.3810e-01 2.7674e+00
NG020030 Minjibir 5.4171e-02 -1.4749e-03 1.6158e-01 1.3843e-01
NG005014 Misau 1.8292e-02 -1.2162e-05 1.8730e-03 4.2294e-01
NG003018 Mkpat Enin -1.6085e-01 -1.1135e-03 1.4256e-01 -4.2306e-01
NG013015 Moba -1.7727e-01 -8.6620e-05 1.1101e-02 -1.6817e+00
NG008023 Mobbar 1.2582e+00 -1.6277e-03 2.5025e-01 2.5184e+00
NG027017 Mokwa 4.1411e-01 -1.0497e-03 5.6999e-02 1.7389e+00
NG008024 Monguno 1.2582e+00 -1.6277e-03 2.5025e-01 2.5184e+00
NG023013 Mopa-Muro 6.8447e-02 -2.5316e-04 6.5130e-02 2.6920e-01
NG024012 Moro 8.4196e-01 -6.5588e-04 5.5785e-02 3.5675e+00
NG002014 Mubi North 1.1172e+00 -1.5504e-03 2.9837e-01 2.0482e+00
NG002015 Mubi South 1.1591e+00 -1.5504e-03 3.9834e-01 1.8389e+00
NG021029 Musawa 2.3732e-01 -3.9905e-04 3.8242e-02 1.2156e+00
NG025016 Mushin 1.0431e+00 -1.2599e-03 1.9378e-01 2.3724e+00
NG027018 Muya -1.1309e-03 -1.5384e-07 2.9653e-05 -2.0765e-01
NG016009 Nafada 7.4541e-01 -1.3162e-03 2.5336e-01 1.4835e+00
NG036012 Nangere 9.0273e-02 -9.3914e-04 1.2025e-01 2.6303e-01
NG020031 Nasarawa -6.4231e-02 -5.1577e-05 6.6100e-03 -7.8940e-01
NG026009 Nasarawa 1.9796e-01 -5.6029e-04 5.3686e-02 8.5677e-01
NG026010 Nasarawa-Eggon 3.1335e-01 -8.1339e-04 1.5665e-01 7.9377e-01
NG010011 Ndokwa East -7.1570e-02 -1.8249e-05 1.7496e-03 -1.7106e+00
NG010012 Ndokwa West 1.1464e-01 -1.7389e-04 1.9074e-02 8.3134e-01
NG006004 Nembe 2.8016e-01 -2.0041e-04 3.0857e-02 1.5960e+00
NG008025 Ngala 1.2582e+00 -1.6277e-03 4.1817e-01 1.9482e+00
NG008026 Nganzai 1.0897e+00 -1.6277e-03 1.7829e-01 2.5846e+00
NG022015 Ngaski 5.1373e-02 -1.9519e-04 2.5012e-02 3.2607e-01
NG017012 Ngor-Okpala 3.8138e-01 -8.2400e-04 7.8934e-02 1.3604e+00
NG036013 Nguru 1.2072e-02 -6.3380e-06 9.7603e-04 3.8661e-01
NG005015 Ningi -9.8898e-02 -5.6910e-04 5.4530e-02 -4.2108e-01
NG017013 Njaba 7.6469e-01 -1.1259e-03 1.7320e-01 1.8402e+00
NG004013 Njikoka 6.2583e-01 -7.6926e-04 9.8516e-02 1.9964e+00
NG014011 Nkanu East 9.3026e-02 -1.5504e-03 1.3174e-01 2.6056e-01
NG014012 Nkanu West 1.5217e-01 -2.9456e-05 4.5360e-03 2.2598e+00
NG017014 Nkwerre 5.7646e-01 -5.2377e-04 6.7093e-02 2.2275e+00
NG004014 Nnewi North 8.8679e-01 -9.3914e-04 2.4144e-01 1.8066e+00
NG004015 Nnewi South 9.2056e-01 -1.4749e-03 1.4120e-01 2.4538e+00
NG003019 Nsit Atai 1.1681e-03 -1.0184e-04 1.9627e-02 9.0651e-03
NG003020 Nsit Ibom 4.3614e-02 -2.2881e-04 4.4093e-02 2.0879e-01
NG003021 Nsit Ubium -2.0447e-02 -6.6449e-05 6.3702e-03 -2.5536e-01
NG014013 Nsukka 6.7234e-01 -9.3914e-04 1.2025e-01 1.9416e+00
NG002016 Numan 6.2298e-01 -1.6277e-03 3.1322e-01 1.1160e+00
NG017015 Nwangele 4.9715e-01 -5.6910e-04 8.7591e-02 1.6817e+00
NG028015 Obafemi-Owode 3.2338e-01 -6.6542e-04 6.3753e-02 1.2834e+00
NG009013 Obanliku 9.3118e-01 -6.0715e-04 1.5614e-01 2.3581e+00
NG007014 Obi 1.4691e-02 -3.8586e-05 7.4371e-03 1.7080e-01
NG026011 Obi 1.6951e-01 -4.7222e-04 9.0976e-02 5.6357e-01
NG001009 Obi Ngwa -2.4197e-01 -4.9318e-03 4.1767e-01 -3.6678e-01
NG033015 Obia/Akpor -6.5236e-02 -5.4386e-06 5.9668e-04 -2.6704e+00
NG030024 Obokun 8.4506e-01 -1.6916e-03 1.4373e-01 2.2335e+00
NG003022 Obot Akara 9.9888e-03 -1.8249e-05 2.0021e-03 2.2364e-01
NG017016 Obowo 1.9787e-01 -2.5910e-04 3.9890e-02 9.9200e-01
NG009014 Obubra 1.4982e+00 -5.2080e-03 5.6841e-01 1.9941e+00
NG009015 Obudu 1.3832e+00 -2.3901e-03 3.0559e-01 2.5066e+00
NG028016 Odeda 3.6842e-02 -1.9868e-05 2.1798e-03 7.8954e-01
NG029013 Odigbo 4.0670e-01 -7.8598e-03 8.5553e-01 4.4820e-01
NG030025 Odo-Otin 2.6021e+00 -5.4918e-03 5.9920e-01 3.3686e+00
NG028017 Odogbolu 8.4874e-03 -3.6124e-04 3.4620e-02 4.7556e-02
NG009016 Odukpani 1.1578e-01 -2.2962e-03 1.5911e-01 2.9601e-01
NG024013 Offa 6.6227e+00 -3.9022e-03 3.0085e+00 3.8204e+00
NG023014 Ofu 2.7372e-02 -3.2531e-04 3.5679e-02 1.4664e-01
NG033016 Ogba/Egbema/Ndoni 3.2130e-01 -8.2400e-04 7.0072e-02 1.2169e+00
NG007015 Ogbadibo 1.1029e-01 -4.0925e-05 6.3021e-03 1.3899e+00
NG004016 Ogbaru 5.2719e-01 -8.2400e-04 6.2983e-02 2.1040e+00
NG006005 Ogbia 4.2386e-01 -4.8031e-04 7.3931e-02 1.5606e+00
NG031021 Ogbomosho North -2.0503e-01 -1.7389e-04 4.4739e-02 -9.6850e-01
NG031022 Ogbomosho South 2.0166e-01 -2.5316e-04 4.8784e-02 9.1416e-01
NG031023 Ogo Oluwa 7.3130e-01 -1.1792e-03 1.8138e-01 1.7199e+00
NG009017 Ogoja 2.0417e+00 -2.2042e-03 3.3869e-01 3.5121e+00
NG023015 Ogori/Magongo 7.1880e-03 -2.5910e-04 1.0011e-01 2.3536e-02
NG033017 Ogu/Bolo 1.2340e+00 -1.6277e-03 2.5025e-01 2.4700e+00
NG028018 Ogun waterside -1.4659e-01 -1.4925e-04 2.2981e-02 -9.6603e-01
NG017017 Oguta -2.9739e-01 -3.1865e-04 3.0540e-02 -1.6999e+00
NG001010 Ohafia 2.2340e-01 -4.8031e-04 9.2535e-02 7.3597e-01
NG017018 Ohaji/Egbema -1.7016e-01 -8.3203e-05 9.1276e-03 -1.7802e+00
NG011011 Ohaozara -8.4012e-02 -8.1339e-04 1.0416e-01 -2.5779e-01
NG011012 Ohaukwu 5.0585e-01 -1.6916e-03 3.2550e-01 8.8961e-01
NG007016 Ohimini 2.9012e-02 -1.2162e-05 2.3443e-03 5.9946e-01
NG014014 Oji-River 6.6482e-01 -7.6926e-04 7.3694e-02 2.4518e+00
NG025017 Ojo -2.8194e-01 -8.6620e-05 1.6694e-02 -2.1814e+00
NG007017 Oju -1.6483e-01 -1.2649e-04 1.3876e-02 -1.3982e+00
NG024014 Oke-Ero 3.8743e+00 -6.0818e-03 6.6319e-01 4.7649e+00
NG023016 Okehi -4.3259e-02 -1.4475e-04 2.2288e-02 -2.8879e-01
NG023017 Okene -5.7052e-02 -5.1577e-05 7.9423e-03 -6.3959e-01
NG017019 Okigwe 3.6430e-01 -2.9126e-04 2.7916e-02 2.1821e+00
NG029014 Okitipupa 1.6093e-01 -1.2235e-04 1.8840e-02 1.1733e+00
NG003023 Okobo 3.1158e-02 -3.8586e-05 4.2332e-03 4.7948e-01
NG010013 Okpe 4.8875e-01 -1.1920e-03 1.3062e-01 1.3556e+00
NG007018 Okpokwu 6.1094e-02 -1.0562e-04 1.3535e-02 5.2604e-01
NG033018 Okrika 1.1394e+00 -1.5504e-03 2.3838e-01 2.3368e+00
NG030026 Ola-oluwa -4.7970e-01 -7.1640e-04 1.3799e-01 -1.2895e+00
NG023018 Olamabolo 2.9334e-01 -6.6542e-04 7.2956e-02 1.0885e+00
NG030027 Olorunda 5.8173e-01 -5.6029e-04 5.3686e-02 2.5131e+00
NG031024 Olorunsogo -4.9347e-02 -1.0562e-04 1.1586e-02 -4.5747e-01
NG031025 Oluyole 2.4317e-01 -5.6910e-04 5.4530e-02 1.0438e+00
NG023019 Omala -9.3535e-02 -8.6620e-05 1.1101e-02 -8.8695e-01
NG033019 Omumma 3.8428e-01 -1.1920e-03 2.2948e-01 8.0468e-01
NG031026 Ona-Ara -1.3621e-01 -2.8497e-04 3.6512e-02 -7.1136e-01
NG029015 Ondo East 1.5652e+00 -1.9394e-03 2.9809e-01 2.8704e+00
NG029016 Ondo West 1.4039e+00 -3.9022e-03 4.2644e-01 2.1558e+00
NG011013 Onicha 7.3697e-01 -3.1000e-03 2.9629e-01 1.3596e+00
NG004017 Onitsha North 8.5261e-01 -1.5504e-03 1.6983e-01 2.0727e+00
NG004018 Onitsha South 9.5775e-01 -1.4749e-03 3.7898e-01 1.5582e+00
NG003024 Onna 2.2091e-02 -2.9456e-05 3.7751e-03 3.6003e-01
NG033020 Opobo/Nkoro 5.4810e-01 -1.2599e-03 2.4254e-01 1.1155e+00
NG012012 Oredo 7.8103e-02 -1.2649e-04 3.2546e-02 4.3363e-01
NG031027 Orelope 8.6743e-03 -6.3380e-06 9.7603e-04 2.7786e-01
NG012013 Orhionmwon -3.8818e-01 -6.0715e-04 3.8579e-02 -1.9732e+00
NG031028 Ori Ire -2.3074e-02 -1.9868e-05 1.9048e-03 -5.2823e-01
NG030028 Oriade 1.3380e+00 -3.2090e-03 2.4469e-01 2.7115e+00
NG017020 Orlu 6.6415e-01 -7.1640e-04 9.1751e-02 2.1950e+00
NG030029 Orolu 3.8157e-01 -6.0715e-04 1.1696e-01 1.1175e+00
NG003025 Oron -2.9816e-01 -1.0618e-03 1.6334e-01 -7.3512e-01
NG017021 Orsu 7.5463e-01 -1.1259e-03 1.7320e-01 1.8160e+00
NG017022 Oru East 5.1528e-01 -9.9952e-04 1.0955e-01 1.5598e+00
NG017023 Oru West 2.1165e-01 -9.9952e-04 2.5695e-01 4.1950e-01
NG003026 Oruk Anam -2.0130e-02 -5.1577e-05 5.6583e-03 -2.6692e-01
NG004019 Orumba North 5.9947e-01 -6.6542e-04 1.0240e-01 1.8754e+00
NG004020 Orumba South 6.4364e-01 -8.8063e-04 1.1277e-01 1.9193e+00
NG029017 Ose 1.3031e+00 -3.7819e-03 4.1335e-01 2.0327e+00
NG010014 Oshimili North 7.9825e-01 -1.2599e-03 1.9378e-01 1.8163e+00
NG010015 Oshimili South 6.2773e-01 -8.2400e-04 9.0329e-02 2.0914e+00
NG025018 Oshodi-Isolo 6.9558e-01 -1.6277e-03 2.5025e-01 1.3937e+00
NG001011 Osisioma Ngwa 8.0750e-03 -5.2377e-04 5.0189e-02 3.8383e-02
NG030030 Osogbo 4.6860e-01 -5.6029e-04 6.1436e-02 1.8928e+00
NG007019 Oturkpo 1.1250e-02 -4.0925e-05 3.9234e-03 1.8026e-01
NG012014 Ovia North East -2.9406e-02 -6.9507e-05 5.3168e-03 -4.0233e-01
NG012015 Ovia South West -1.4238e-01 -8.6620e-05 1.1101e-02 -1.3506e+00
NG012016 Owan East -7.3679e-03 -1.4925e-04 2.2981e-02 -4.7618e-02
NG012017 Owan West -5.5478e-03 -5.4275e-05 8.3578e-03 -6.0090e-02
NG017026 Owerri-Municipal 4.7785e-01 -1.4749e-03 5.6921e-01 6.3532e-01
NG017024 Owerri North 2.2707e-01 -1.2649e-04 1.6210e-02 1.7845e+00
NG017025 Owerri West 2.1351e-01 -4.3874e-04 5.6206e-02 9.0244e-01
NG029018 Owo 5.7511e-01 -2.3901e-03 2.6159e-01 1.1291e+00
NG013016 Oye 1.6371e-01 -8.6966e-04 1.3381e-01 4.4992e-01
NG004021 Oyi 3.1633e-01 -1.7389e-04 2.6774e-02 1.9343e+00
NG033021 Oyigbo 3.4468e-01 -1.4749e-03 1.4120e-01 9.2121e-01
NG031029 Oyo East -6.3373e-02 -1.2649e-04 1.0764e-02 -6.0960e-01
NG031030 Oyo West 1.7885e-01 -8.2400e-04 9.0329e-02 5.9781e-01
NG024015 Oyun 8.3120e+00 -1.8811e-02 2.0249e+00 5.8544e+00
NG027019 Paikoro -2.0520e-03 -3.3373e-07 2.8403e-05 -3.8497e-01
NG032013 Pankshin 1.9527e+00 -3.2090e-03 3.5093e-01 3.3016e+00
NG010016 Patani 5.2612e-01 -9.9952e-04 1.5377e-01 1.3442e+00
NG024016 Pategi 1.1201e+00 -4.7965e-03 6.1179e-01 1.4382e+00
NG033022 Port-Harcourt 6.2063e-01 -7.6926e-04 1.4816e-01 1.6144e+00
NG036014 Potiskum 7.9197e-01 -1.1920e-03 3.0637e-01 1.4330e+00
NG032014 Qua'an Pan 2.0377e+00 -4.2742e-03 5.4546e-01 2.7648e+00
NG034012 Rabah 4.4925e-01 -1.2599e-03 1.3805e-01 1.2125e+00
NG027020 Rafi -8.4046e-03 -3.3373e-07 5.1394e-05 -1.1723e+00
NG020032 Rano 2.6986e-02 -3.2531e-04 5.0081e-02 1.2204e-01
NG028019 Remo North 3.6799e-01 -4.8031e-04 7.3931e-02 1.3552e+00
NG027021 Rijau 1.7095e-01 -1.1135e-03 1.2203e-01 4.9256e-01
NG021030 Rimi -8.3028e-02 -2.9456e-05 4.5360e-03 -1.2324e+00
NG020033 Rimin Gado 6.5987e-01 -1.2599e-03 1.9378e-01 1.5019e+00
NG018023 Ringim 3.8028e-02 -1.2599e-03 1.6127e-01 9.7831e-02
NG032015 Riyom 1.5301e+00 -3.4325e-03 3.7530e-01 2.5032e+00
NG020034 Rogo -1.1049e-01 -8.1339e-04 8.9166e-02 -3.6728e-01
NG018024 Roni -5.1784e-03 -1.2468e-03 1.9176e-01 -8.9783e-03
NG019019 Sabon-Gari 9.0495e+00 -1.7248e-02 3.2672e+00 5.0161e+00
NG034013 Sabon Birni -1.2167e-01 -5.1577e-05 1.3272e-02 -1.0557e+00
NG021031 Sabuwa -3.2913e-01 -6.9507e-05 1.3396e-02 -2.8430e+00
NG021032 Safana -2.2388e-02 -3.6124e-04 4.6281e-02 -1.0239e-01
NG006006 Sagbama -4.2228e-02 -5.4386e-06 4.6287e-04 -1.9625e+00
NG022016 Sakaba 3.1197e-01 -7.0651e-04 1.3608e-01 8.4761e-01
NG031031 Saki East -1.6296e-03 -2.3951e-06 3.6884e-04 -8.4725e-02
NG031032 Saki West 2.3715e-02 -5.1577e-05 1.3272e-02 2.0631e-01
NG021033 Sandamu 1.3349e-02 -1.8555e-06 2.3780e-04 8.6577e-01
NG019020 Sanga 8.4485e-01 -1.0497e-03 1.0054e-01 2.6678e+00
NG010017 Sapele 5.7035e-01 -1.0618e-03 2.0444e-01 1.2638e+00
NG035011 Sardauna -3.1543e-01 -1.7389e-04 6.7196e-02 -1.2162e+00
NG028020 Shagamu -1.1518e-01 -3.9167e-04 5.0179e-02 -5.1242e-01
NG034014 Shagari -9.6663e-02 -5.6910e-04 8.7591e-02 -3.2469e-01
NG022017 Shanga 8.0602e-02 -9.2780e-04 8.8869e-02 2.7349e-01
NG008027 Shani 1.3145e-01 -1.6277e-03 1.5580e-01 3.3715e-01
NG020035 Shanono 2.2983e-01 -3.2531e-04 5.0081e-02 1.0284e+00
NG002017 Shelleng 9.9270e-01 -1.3297e-03 1.4569e-01 2.6043e+00
NG032016 Shendam 1.4623e+00 -4.2742e-03 4.6692e-01 2.1463e+00
NG037011 Shinkafi 2.6920e-02 -6.3380e-06 1.6310e-03 6.6675e-01
NG005016 Shira -5.8645e-02 -6.6449e-05 1.0232e-02 -5.7910e-01
NG027022 Shiroro -8.5911e-02 -2.5910e-04 2.8419e-02 -5.0808e-01
NG016010 Shomgom 1.9560e+00 -4.6631e-03 7.1476e-01 2.3191e+00
NG025019 Shomolu 1.0692e+00 -1.4014e-03 2.6973e-01 2.0614e+00
NG034015 Silame -6.5842e-02 -6.6542e-04 1.2817e-01 -1.8205e-01
NG019021 Soba 3.6742e+00 -1.2747e-02 1.2065e+00 3.3566e+00
NG034016 Sokoto North 2.9738e-01 -1.4014e-03 3.6011e-01 4.9790e-01
NG034017 Sokoto South 3.0015e-01 -1.1920e-03 2.2948e-01 6.2907e-01
NG002018 Song 9.3505e-01 -1.1259e-03 1.2339e-01 2.6651e+00
NG006007 Southern Ijaw 2.5622e-01 -2.9126e-04 3.1946e-02 1.4352e+00
NG018025 Sule-Tankarkar 8.9191e-01 -5.1531e-04 6.6011e-02 3.4735e+00
NG027023 Suleja 6.1243e-02 -8.2400e-04 1.5869e-01 1.5580e-01
NG020036 Sumaila 1.6924e-01 -8.6966e-04 1.6748e-01 4.1567e-01
NG022018 Suru 1.4857e-01 -2.7477e-05 4.2313e-03 2.2845e+00
NG025020 Surulere 1.0077e+00 -1.1920e-03 1.5259e-01 2.5827e+00
NG031033 Surulere 1.3377e+00 -2.3901e-03 1.6560e-01 3.2931e+00
NG027024 Tafa -4.2032e-01 -1.0618e-03 1.6334e-01 -1.0374e+00
NG005017 Tafawa-Balewa -2.0376e-01 -3.9905e-04 3.0514e-02 -1.1641e+00
NG033023 Tai 1.0710e+00 -1.4749e-03 2.2680e-01 2.2520e+00
NG020037 Takai -1.3067e-01 -2.5835e-03 3.3026e-01 -2.2289e-01
NG035012 Takum 7.9880e-01 -1.6916e-03 3.2550e-01 1.4031e+00
NG037012 Talata Mafara -3.1578e-01 -7.0651e-04 1.3608e-01 -8.5411e-01
NG034018 Tambuwal 2.4912e-02 -5.1577e-05 4.3894e-03 3.7679e-01
NG034019 Tangaza -3.4236e-03 -3.3373e-07 4.2772e-05 -5.2343e-01
NG020038 Tarauni 3.3251e-01 -1.1920e-03 2.2948e-01 6.9661e-01
NG007020 Tarka 1.9596e-01 -8.3203e-05 1.6036e-02 1.5482e+00
NG036015 Tarmua 8.8341e-01 -1.2599e-03 1.9378e-01 2.0097e+00
NG018026 Taura -2.1826e-01 -9.8783e-04 1.2648e-01 -6.1094e-01
NG020039 Tofa 7.3790e-01 -1.5504e-03 2.3838e-01 1.5145e+00
NG005018 Toro 6.4220e-02 -1.7389e-04 1.3300e-02 5.5837e-01
NG026012 Toto 6.0549e-02 -1.8249e-05 2.3389e-03 1.2524e+00
NG002019 Toungo -2.7763e-01 -1.5504e-03 3.9834e-01 -4.3743e-01
NG037013 Tsafe -8.4724e-03 -5.4386e-06 1.0483e-03 -2.6151e-01
NG020040 Tsanyawa -3.6620e-03 -1.5384e-07 1.6879e-05 -8.9133e-01
NG020041 Tudun Wada -2.3849e-01 -1.0497e-03 8.9248e-02 -7.9480e-01
NG034020 Tureta -3.3298e-01 -6.0715e-04 6.6571e-02 -1.2882e+00
NG014015 Udenu 6.7295e-01 -1.5504e-03 2.3838e-01 1.3815e+00
NG014016 Udi 7.3616e-01 -9.3914e-04 7.9854e-02 2.6084e+00
NG010018 Udu 7.6129e-01 -1.3297e-03 2.5595e-01 1.5074e+00
NG003027 Udung Uko -4.2922e-03 -1.5384e-07 3.9589e-05 -6.8215e-01
NG010019 Ughelli North 3.2251e-01 -5.2377e-04 4.0046e-02 1.6142e+00
NG010020 Ughelli South 6.8852e-01 -7.1640e-04 7.8541e-02 2.4593e+00
NG001012 Ugwunagbo 8.3329e-02 -1.4475e-04 1.8549e-02 6.1289e-01
NG012018 Uhunmwonde 5.3675e-02 -1.7389e-04 2.2283e-02 3.6074e-01
NG003028 Ukanafun 4.8583e-02 -5.4275e-05 8.3578e-03 5.3201e-01
NG007021 Ukum 7.1148e-01 -9.2780e-04 1.7867e-01 1.6854e+00
NG001013 Ukwa East 1.1053e-01 -3.5422e-04 3.8849e-02 5.6258e-01
NG001014 Ukwa West -3.1866e-01 -6.5588e-04 8.4006e-02 -1.0972e+00
NG010021 Ukwuani 1.1424e-02 -2.3951e-06 4.6165e-04 5.3181e-01
NG001017 Umu-Nneochi 5.7671e-01 -7.1640e-04 7.8541e-02 2.0604e+00
NG001015 Umuahia North 2.7894e-01 -5.6910e-04 6.2402e-02 1.1189e+00
NG001016 Umuahia South 6.0619e-03 -3.3373e-07 5.1394e-05 8.4562e-01
NG020042 Ungogo 3.0813e-01 -7.6926e-04 6.5421e-02 1.2077e+00
NG017027 Unuimo 6.7941e-01 -1.4749e-03 1.6158e-01 1.6939e+00
NG003029 Uruan -1.1686e-02 -2.3951e-06 3.0697e-04 -6.6684e-01
NG003030 Urue-Offong/Oruko 4.6362e-03 -2.3951e-06 3.6884e-04 2.4153e-01
NG007022 Ushongo 9.6682e-01 -2.9930e-03 3.8244e-01 1.5682e+00
NG035013 Ussa 1.0961e+00 -1.2468e-03 3.2043e-01 1.9386e+00
NG010022 Uvwie 6.7907e-01 -1.0618e-03 1.6334e-01 1.6828e+00
NG003031 Uyo -7.6637e-03 -1.0903e-05 8.3406e-04 -2.6499e-01
NG014017 Uzo-Uwani 7.8882e-01 -1.5504e-03 1.4841e-01 2.0517e+00
NG007023 Vandeikya 3.4338e-01 -1.2235e-04 1.8840e-02 2.5026e+00
NG034021 Wamako 2.0732e-02 -1.2162e-05 1.0351e-03 6.4477e-01
NG026013 Wamba 4.6167e-02 -5.4386e-06 8.3753e-04 1.5955e+00
NG020043 Warawa -2.1810e-04 -1.4475e-04 1.5879e-02 -5.8210e-04
NG005019 Warji 1.3116e-01 -4.0925e-05 7.8878e-03 1.4773e+00
NG010023 Warri North 1.9287e-01 -3.2531e-04 2.7678e-02 1.1612e+00
NG010024 Warri South 3.4420e-01 -2.0041e-04 2.5680e-02 2.1491e+00
NG010025 Warri South West 7.0914e-01 -1.1920e-03 1.8334e-01 1.6589e+00
NG022019 Wasagu/Danko -7.6487e-02 -5.6029e-04 6.1436e-02 -3.0633e-01
NG032017 Wase 1.1859e-01 -6.6449e-05 1.0232e-02 1.1731e+00
NG020044 Wudil -8.0353e-03 -1.9868e-05 2.1798e-03 -1.7168e-01
NG035014 Wukari 8.4291e-01 -2.5835e-03 2.8271e-01 1.5902e+00
NG034022 Wurno 1.2249e-01 -3.6124e-04 6.9603e-02 4.6565e-01
NG027025 Wushishi 6.0254e-02 -6.0715e-04 6.6571e-02 2.3588e-01
NG034023 Yabo -6.1064e-02 -8.3203e-05 1.0663e-02 -5.9055e-01
NG023020 Yagba East 5.4543e-03 -1.5384e-07 1.6879e-05 1.3276e+00
NG023021 Yagba West 2.2042e+00 -1.2468e-03 1.3661e-01 5.9669e+00
NG009018 Yakurr 1.4624e+00 -6.3882e-03 9.7748e-01 1.4856e+00
NG009019 Yala 1.4254e+00 -4.4019e-03 4.2017e-01 2.2058e+00
NG016011 Yamaltu/Deba 1.7873e+00 -6.7020e-03 7.3036e-01 2.0992e+00
NG018027 Yankwashi -1.1477e-01 -2.9456e-05 4.5360e-03 -1.7036e+00
NG022020 Yauri -3.4257e-01 -7.1640e-04 1.8422e-01 -7.9648e-01
NG006008 Yenegoa 4.8213e-01 -6.6542e-04 8.5226e-02 1.6538e+00
NG002020 Yola North 1.0412e+00 -1.4014e-03 5.4087e-01 1.4176e+00
NG002021 Yola South 9.9111e-01 -1.1259e-03 1.7320e-01 2.3842e+00
NG035015 Yorro 9.1919e-02 -5.1577e-05 6.6100e-03 1.1312e+00
NG036016 Yunusari 1.0843e+00 -1.6277e-03 3.1322e-01 1.9403e+00
NG036017 Yusufari 6.9180e-01 -1.2599e-03 1.9378e-01 1.5744e+00
NG005020 Zaki 8.1963e-02 -1.0184e-04 1.1172e-02 7.7642e-01
NG021034 Zango -5.1902e-01 -3.9905e-04 7.6885e-02 -1.8704e+00
NG019022 Zango-Kataf -5.5710e-01 -4.8031e-04 6.1529e-02 -2.2440e+00
NG019023 Zaria 1.0395e+01 -1.1260e-02 2.1459e+00 7.1035e+00
NG035016 Zing -2.5409e-01 -4.7222e-04 1.8243e-01 -5.9380e-01
NG037014 Zurmi -2.3990e-02 -5.4386e-06 5.2141e-04 -1.0504e+00
NG022021 Zuru -1.4493e-01 -2.0041e-04 3.8621e-02 -7.3644e-01
Pr.z....E.Ii..
NG001001 Aba North 0.4620
NG001002 Aba South 0.4949
NG008001 Abadam 0.0514
NG015001 Abaji 0.6471
NG003001 Abak 0.9510
NG011001 Abakaliki 0.0615
NG028001 Abeokuta North 0.4153
NG028002 Abeokuta South 0.2433
NG009001 Abi 0.0172
NG017001 Aboh-Mbaise 0.2263
NG033001 Abua/Odual 0.0200
NG015002 Abuja Municipal 0.6488
NG023001 Adavi 0.8370
NG007001 Ado 0.5518
NG028003 Ado-Odo/Ota 0.7717
NG013001 Ado Ekiti 0.8540
NG031001 Afijio 0.7341
NG011002 Afikpo North 0.1672
NG011003 Afikpo South 0.9353
NG027001 Agaie 0.6905
NG007002 Agatu 0.6821
NG025001 Agege 0.6186
NG004001 Aguata 0.0499
NG027002 Agwara 0.9823
NG017002 Ahiazu-Mbaise 0.1762
NG033002 Ahoada East 0.0594
NG033003 Ahoada West 0.0922
NG030001 Aiyedade 0.9930
NG030002 Aiyedire 0.0484
NG013002 Aiyekire (Gbonyin) 0.1445
NG023002 Ajaokuta 0.7439
NG025002 Ajeromi-Ifelodun 0.0837
NG020001 Ajingi 0.1104
NG009002 Akamkpa 0.0000
NG031002 Akinyele 0.3791
NG016001 Akko 0.0043
NG012001 Akoko-Edo 0.1587
NG029001 Akoko North East 0.0010
NG029002 Akoko North West 0.2746
NG029003 Akoko South East 0.0006
NG029004 Akoko South West 0.0044
NG009003 Akpabuyo 0.5320
NG033004 Akuku Toru 0.1960
NG029005 Akure North 0.5562
NG029006 Akure South 0.4350
NG026001 Akwanga 0.3612
NG020002 Albasu 0.4635
NG022001 Aleiro 0.4053
NG025003 Alimosho 0.4080
NG005001 Alkaleri 0.0047
NG025004 Amuwo-Odofin 0.0442
NG004002 Anambra East 0.0624
NG004003 Anambra West 0.0263
NG004004 Anaocha 0.0139
NG033005 Andoni 0.1158
NG014001 Aninri 0.2396
NG010001 Aniocha North 0.0631
NG010002 Aniocha South 0.0590
NG037001 Anka 0.9146
NG023003 Ankpa 0.5866
NG007003 Apa 0.7342
NG025005 Apapa 0.0142
NG035001 Ardo-Kola 0.0325
NG022002 Arewa-Dandi 0.1860
NG022003 Argungu 0.8548
NG001003 Arochukwu 0.8094
NG024001 Asa 0.0000
NG033006 Asari-Toru 0.1304
NG008002 Askira/Uba 0.0021
NG030003 Atakumosa East 0.0092
NG030004 Atakumosa West 0.0124
NG031003 Atiba 0.4387
NG031004 Atigbo 0.7198
NG022004 Augie 0.8052
NG018001 Auyo 0.9508
NG026002 Awe 0.0121
NG014002 Awgu 0.0522
NG004005 Awka North 0.0454
NG004006 Awka South 0.0640
NG004007 Ayamelum 0.0473
NG018002 Babura 0.0036
NG025006 Badagry 0.2209
NG036001 Bade 0.1329
NG022005 Bagudo 0.0663
NG020003 Bagwai 0.1081
NG009005 Bakassi NaN
NG021001 Bakori 0.4822
NG037002 Bakura 0.7251
NG016002 Balanga 0.2529
NG035002 Bali 0.4417
NG008003 Bama 0.0244
NG032001 Barikin Ladi 0.0142
NG024002 Baruten 0.7956
NG023004 Bassa 0.9804
NG032002 Bassa 0.4047
NG021002 Batagarawa 0.2788
NG021003 Batsari 0.9125
NG005002 Bauchi 0.3215
NG021004 Baure 0.0463
NG008004 Bayo 0.3329
NG020004 Bebeji 0.9344
NG009006 Bekwara 0.0067
NG001004 Bende 0.1097
NG009007 Biase 0.2263
NG020005 Bichi 0.2063
NG027003 Bida 0.2097
NG016003 Billiri 0.0017
NG021005 Bindawa 0.6002
NG034001 Binji 0.4634
NG018003 Biriniwa 0.6828
NG018004 Birni Kudu 0.9999
NG019001 Birnin-Gwari 0.0238
NG022006 Birnin Kebbi 0.1668
NG037003 Birnin Magaji 0.2093
NG008005 Biu 0.0050
NG034002 Bodinga 0.9524
NG005003 Bogoro 0.3486
NG009008 Boki 0.0103
NG032003 Bokkos 0.0027
NG030005 Boluwaduro 0.0117
NG010003 Bomadi 0.1866
NG033007 Bonny 0.0171
NG027004 Borgu 0.2807
NG030006 Boripe 0.0193
NG027005 Bosso 0.8830
NG006001 Brass 0.5384
NG018005 Buji 0.5299
NG037004 Bukkuyum 0.8760
NG037005 Bungudu 0.5450
NG020006 Bunkure 0.7569
NG022007 Bunza 0.1592
NG036002 Bursari 0.0320
NG007004 Buruku 0.1054
NG010004 Burutu 0.1216
NG015003 Bwari 0.1459
NG009010 Calabar-Municipal 0.0201
NG009009 Calabar South 0.2061
NG027006 Chanchaga 0.7342
NG021006 Charanchi 0.4974
NG008006 Chibok 0.0661
NG019002 Chikun 0.0076
NG020007 Dala 0.3222
NG036003 Damaturu 0.0276
NG005004 Damban 0.7201
NG020008 Dambatta 0.1073
NG008007 Damboa 0.0023
NG021007 Dan Musa 0.5703
NG022008 Dandi 0.5424
NG021008 Dandume 0.1743
NG034003 Dange-Shuni 0.4598
NG021009 Danja 0.1954
NG005005 Darazo 0.8792
NG005006 Dass 0.5137
NG021010 Daura 0.3800
NG020009 Dawakin Kudu 0.5554
NG020010 Dawakin Tofa 0.1454
NG033008 Degema 0.0170
NG023005 Dekina 0.9594
NG002001 Demsa 0.0500
NG008008 Dikwa 0.0058
NG020011 Doguwa 0.8206
NG026003 Doma 0.3497
NG035003 Donga 0.0023
NG016004 Dukku 0.0059
NG004008 Dunukofia 0.0714
NG018006 Dutse 0.5537
NG021011 Dutsi 0.1748
NG021012 Dutsin-Ma 0.8306
NG003002 Eastern Obolo 0.5773
NG011004 Ebonyi 0.6318
NG027007 Edati 0.6209
NG030007 Ede North 0.6486
NG030008 Ede South 0.0004
NG024003 Edu 0.0000
NG013003 Efon 0.0165
NG028004 Egbado North 0.0643
NG028005 Egbado South 0.9156
NG031005 Egbeda 0.5785
NG030009 Egbedore 0.0333
NG012002 Egor 0.6987
NG017003 Ehime-Mbano 0.2311
NG030010 Ejigbo 0.4873
NG006002 Ekeremor 0.2120
NG003003 Eket 0.8773
NG024004 Ekiti 0.1059
NG013004 Ekiti East 0.0185
NG013005 Ekiti South West 0.0930
NG013006 Ekiti West 0.0819
NG004009 Ekwusigo 0.0675
NG033009 Eleme 0.0379
NG033010 Emohua 0.0657
NG013007 Emure 0.0061
NG014003 Enugu East 0.0877
NG014004 Enugu North 0.0588
NG014005 Enugu South 0.2243
NG025007 Epe 0.3713
NG012003 Esan Central 0.2892
NG012004 Esan North East 0.2814
NG012005 Esan South East 0.1107
NG012006 Esan West 0.3271
NG029007 Ese-Odo 0.7369
NG003004 Esit - Eket 0.6955
NG003005 Essien Udim 0.7066
NG033011 Etche 0.2761
NG010005 Ethiope East 0.6314
NG010006 Ethiope West 0.4171
NG025008 Eti-Osa 0.4737
NG003006 Etim Ekpo 0.9944
NG003007 Etinan 0.7632
NG012007 Etsako Central 0.2457
NG012008 Etsako East 0.3589
NG012009 Etsako West 0.2222
NG009011 Etung 0.0335
NG028006 Ewekoro 0.0937
NG014006 Ezeagu 0.0458
NG017004 Ezinihitte 0.5446
NG011005 Ezza North 0.0779
NG011006 Ezza South 0.0999
NG020012 Fagge 0.6790
NG022009 Fakai 0.3085
NG021013 Faskari 0.9418
NG036004 Fika 0.6015
NG002002 Fufore 0.0134
NG016005 Funakaye 0.2732
NG036005 Fune 0.0067
NG021014 Funtua 0.2050
NG020013 Gabasawa 0.7644
NG034004 Gada 0.6316
NG018007 Gagarawa 0.0319
NG005007 Gamawa 0.5144
NG005008 Ganjuwa 0.9231
NG002003 Ganye 0.3009
NG018008 Garki 0.5353
NG020014 Garko 0.0865
NG020015 Garum Mallam 0.3339
NG035004 Gashaka 0.7080
NG035005 Gassol 0.0545
NG020016 Gaya 0.7931
NG027008 Gbako 0.9111
NG007005 Gboko 0.0332
NG036006 Geidam 0.0130
NG020017 Gezawa 0.3001
NG005009 Giade 0.7011
NG002005 Girei 0.0228
NG019003 Giwa 0.0000
NG033012 Gokana 0.0492
NG016006 Gombe 0.0003
NG002004 Gombi 0.0119
NG034006 Goronyo 0.3062
NG008009 Gubio 0.0126
NG034007 Gudu 0.8378
NG036007 Gujba 0.0068
NG036008 Gulani 0.4835
NG007006 Guma 0.2372
NG018009 Gumel 0.8068
NG037006 Gummi 0.7718
NG027009 Gurara 0.9213
NG018010 Guri 0.2578
NG037007 Gusau 0.8546
NG002006 Guyuk 0.5385
NG008010 Guzamala 0.0058
NG034005 Gwadabawa 0.8728
NG015004 Gwagwalada 0.6628
NG020018 Gwale 0.6034
NG022010 Gwandu 0.9582
NG018011 Gwaram 0.5395
NG020019 Gwarzo 0.2128
NG007007 Gwer East 0.5566
NG007008 Gwer West 0.8925
NG018012 Gwiwa 0.4827
NG008011 Gwoza 0.0244
NG018013 Hadejia 0.4601
NG008012 Hawul 0.0259
NG002007 Hong 0.0182
NG031006 Ibadan North 0.9732
NG031007 Ibadan North East 0.4362
NG031008 Ibadan North West 0.2311
NG031009 Ibadan South East 0.6528
NG031010 Ibadan South West 0.2270
NG023006 Ibaji 0.1243
NG031011 Ibarapa Central 0.5077
NG031012 Ibarapa East 0.7943
NG031013 Ibarapa North 0.8959
NG025009 Ibeju/Lekki 0.9724
NG003008 Ibeno 0.7153
NG003009 Ibesikpo Asutan 0.9524
NG035006 Ibi 0.0253
NG003010 Ibiono Ibom 0.9064
NG023007 Idah 0.3435
NG029008 Idanre 0.0325
NG017005 Ideato North 0.0124
NG017006 Ideato South 0.0824
NG004010 Idemili North 0.0373
NG004011 Idemili South 0.0223
NG031014 Ido 0.2632
NG013008 Ido-Osi 0.5717
NG025010 Ifako-Ijaye 0.7545
NG030011 Ife Central 0.0605
NG030012 Ife East 0.0285
NG030013 Ife North 0.0043
NG030014 Ife South 0.0007
NG030015 Ifedayo 0.0008
NG029009 Ifedore 0.2258
NG024005 Ifelodun 0.0000
NG030016 Ifelodun 0.0244
NG028007 Ifo 0.6663
NG019004 Igabi 0.0020
NG023008 Igalamela-Odolu 0.0356
NG014007 Igbo-Etiti 0.0902
NG014008 Igbo-Eze North 0.0900
NG014009 Igbo-Eze South 0.0612
NG012010 Igueben 0.3973
NG004012 Ihiala 0.0529
NG017007 Ihitte/Uboma 0.2922
NG028008 Ijebu East 0.0102
NG028009 Ijebu North 0.7655
NG028010 Ijebu North East 0.2123
NG028011 Ijebu Ode 0.8235
NG013009 Ijero 0.7566
NG023009 Ijumu 0.0727
NG003011 Ika 0.2764
NG010007 Ika North East 0.2208
NG010008 Ika South 0.3616
NG019005 Ikara 0.1816
NG017008 Ikeduru 0.3766
NG025011 Ikeja 0.0411
NG028012 Ikenne 0.5119
NG013010 Ikere 0.4386
NG013011 Ikole 0.2351
NG009012 Ikom 0.0003
NG003012 Ikono 0.5449
NG025012 Ikorodu 0.7825
NG003013 Ikot Abasi 0.6458
NG003014 Ikot Ekpene 0.9649
NG012011 Ikpoba-Okha 0.4984
NG033013 Ikwerre 0.4130
NG011007 Ikwo 0.0051
NG001005 Ikwuano 0.3621
NG030017 Ila 0.0000
NG029010 Ilaje 0.8981
NG029011 Ile-Oluji-Okeigbo 0.0025
NG013012 Ilejemeji 0.4061
NG030018 Ilesha East 0.0190
NG030019 Ilesha West 0.0171
NG034008 Illela 0.8558
NG024006 Ilorin East 0.0002
NG024007 Ilorin South 0.0002
NG024008 Ilorin West 0.0021
NG028013 Imeko-Afon 0.5801
NG021015 Ingawa 0.9037
NG003015 Ini 0.4344
NG028014 Ipokia 0.1542
NG029012 Irele 0.0976
NG031015 Irepo 0.6599
NG024009 Irepodun 0.0000
NG030020 Irepodun 0.3727
NG013013 Irepodun/Ifelodun 0.0542
NG030021 Irewole 0.0952
NG034009 Isa 0.5303
NG013014 Ise/Orun 0.4130
NG031016 Iseyin 0.9853
NG011008 Ishielu 0.2862
NG014010 Isi-Uzo 0.1476
NG001006 Isiala-Ngwa North 0.9610
NG001007 Isiala-Ngwa South 0.7687
NG017009 Isiala Mbano 0.1032
NG024010 Isin 0.0000
NG001008 Isiukwuato 0.1431
NG030022 Isokan 0.1338
NG010009 Isoko North 0.4457
NG010010 Isoko South 0.4171
NG017010 Isu 0.1316
NG005010 Itas/Gadau 0.3774
NG031017 Itesiwaju 0.6711
NG003016 Itu 0.5833
NG011009 Ivo 0.2659
NG031018 Iwajowa 0.5198
NG030023 Iwo 0.9516
NG011010 Izzi 0.1164
NG019006 Jaba 0.0035
NG002008 Jada 0.0683
NG018014 Jahun 0.4102
NG036009 Jakusko 0.7165
NG035007 Jalingo 0.2874
NG005011 Jama'are 0.9721
NG022011 Jega 0.8714
NG019007 Jema'a 0.0680
NG008013 Jere 0.0283
NG021016 Jibia 0.2318
NG032004 Jos East 0.2225
NG032005 Jos North 0.5035
NG032006 Jos South 0.1328
NG023010 Kabba/Bunu 0.2923
NG020020 Kabo 0.3871
NG019008 Kachia 0.3561
NG019009 Kaduna North 0.1108
NG019010 Kaduna South 0.0101
NG018015 Kafin Hausa 0.7562
NG021017 Kafur 0.5682
NG008014 Kaga 0.0140
NG019011 Kagarko 0.4198
NG024011 Kaiama 0.7012
NG021018 Kaita 0.6120
NG031019 Kajola 0.6884
NG019012 Kajuru 0.0007
NG008015 Kala/Balge 0.0514
NG022012 Kalgo 0.4448
NG016007 Kaltungo 0.0000
NG032007 Kanam 0.3672
NG021019 Kankara 0.5305
NG032008 Kanke 0.1942
NG021020 Kankia 0.9330
NG020021 Kano Municipal 0.1725
NG036010 Karasuwa 0.4309
NG020022 Karaye 0.5543
NG035008 Karim-Lamido 0.0409
NG026004 Karu 0.0024
NG005012 Katagum 0.3124
NG027010 Katcha 0.4919
NG021021 Katsina 0.3638
NG007009 Katsina-Ala 0.0167
NG018016 Kaugama 0.7951
NG019013 Kaura 0.1031
NG037008 Kaura Namoda 0.4063
NG019014 Kauru 0.1401
NG018017 Kazaure 0.0266
NG026005 Keana 0.6598
NG034010 Kebbe 0.5487
NG026006 Keffi 0.6234
NG033014 Khana 0.0319
NG020023 Kibiya 0.7116
NG005013 Kirfi 0.0594
NG018018 Kiri Kasamma 0.2287
NG020024 Kiru 0.6448
NG018019 Kiyawa 0.1807
NG023011 Kogi 0.8945
NG022013 Koko/Besse 0.9812
NG026007 Kokona 0.2055
NG006003 Kolokuma/Opokuma 0.5131
NG008016 Konduga 0.0014
NG007010 Konshisha 0.0174
NG027011 Kontagora 0.8131
NG025013 Kosofe 0.2263
NG019015 Kubau 0.2515
NG019016 Kudan 0.0004
NG015005 Kuje 0.4026
NG008017 Kukawa 0.0514
NG020025 Kumbotso 0.2784
NG020026 Kunchi 0.8551
NG020027 Kura 0.9207
NG021022 Kurfi 0.6883
NG035009 Kurmi 0.1180
NG021023 Kusada 0.8438
NG015006 Kwali 0.5925
NG016008 Kwami 0.0004
NG007011 Kwande 0.0292
NG034011 Kware 0.1908
NG008018 Kwaya Kusar 0.0524
NG026008 Lafia 0.2101
NG031020 Lagelu 0.9844
NG025014 Lagos Island 0.0345
NG025015 Lagos Mainland 0.0267
NG002009 Lamurde 0.7312
NG032009 Langtang North 0.0064
NG032010 Langtang South 0.1389
NG027012 Lapai 0.5986
NG035010 Lau 0.4413
NG027013 Lavun 0.1969
NG019017 Lere 0.5001
NG007012 Logo 0.0836
NG023012 Lokoja 0.2772
NG036011 Machina 0.6304
NG002010 Madagali 0.0367
NG020028 Madobi 0.3059
NG008019 Mafa 0.0187
NG027014 Magama 0.7038
NG008020 Magumeri 0.0037
NG021024 Mai'adua 0.8704
NG008021 Maiduguri 0.3771
NG018020 Maigatari 0.3776
NG002011 Maiha 0.0344
NG022014 Maiyama 0.0746
NG020029 Makoda 0.6638
NG007013 Makurdi 0.7399
NG018021 Malam Madori 0.0191
NG021025 Malumfashi 0.2261
NG032011 Mangu 0.0349
NG021026 Mani 0.6074
NG037009 Maradun 0.2686
NG027015 Mariga 0.1619
NG019018 Markafi 0.0246
NG008022 Marte 0.0244
NG037010 Maru 0.6276
NG027016 Mashegu 0.6724
NG021027 Mashi 0.0822
NG021028 Matazu 0.6332
NG002012 Mayo-Belwa 0.4489
NG017011 Mbaitoli 0.1026
NG003017 Mbo 0.8350
NG002013 Michika 0.0683
NG018022 Miga 0.9110
NG032012 Mikang 0.0057
NG020030 Minjibir 0.8899
NG005014 Misau 0.6723
NG003018 Mkpat Enin 0.6723
NG013015 Moba 0.0926
NG008023 Mobbar 0.0118
NG027017 Mokwa 0.0820
NG008024 Monguno 0.0118
NG023013 Mopa-Muro 0.7878
NG024012 Moro 0.0004
NG002014 Mubi North 0.0405
NG002015 Mubi South 0.0659
NG021029 Musawa 0.2241
NG025016 Mushin 0.0177
NG027018 Muya 0.8355
NG016009 Nafada 0.1379
NG036012 Nangere 0.7925
NG020031 Nasarawa 0.4299
NG026009 Nasarawa 0.3916
NG026010 Nasarawa-Eggon 0.4273
NG010011 Ndokwa East 0.0872
NG010012 Ndokwa West 0.4058
NG006004 Nembe 0.1105
NG008025 Ngala 0.0514
NG008026 Nganzai 0.0098
NG022015 Ngaski 0.7444
NG017012 Ngor-Okpala 0.1737
NG036013 Nguru 0.6990
NG005015 Ningi 0.6737
NG017013 Njaba 0.0657
NG004013 Njikoka 0.0459
NG014011 Nkanu East 0.7944
NG014012 Nkanu West 0.0238
NG017014 Nkwerre 0.0259
NG004014 Nnewi North 0.0708
NG004015 Nnewi South 0.0141
NG003019 Nsit Atai 0.9928
NG003020 Nsit Ibom 0.8346
NG003021 Nsit Ubium 0.7984
NG014013 Nsukka 0.0522
NG002016 Numan 0.2644
NG017015 Nwangele 0.0926
NG028015 Obafemi-Owode 0.1994
NG009013 Obanliku 0.0184
NG007014 Obi 0.8644
NG026011 Obi 0.5730
NG001009 Obi Ngwa 0.7138
NG033015 Obia/Akpor 0.0076
NG030024 Obokun 0.0255
NG003022 Obot Akara 0.8230
NG017016 Obowo 0.3212
NG009014 Obubra 0.0461
NG009015 Obudu 0.0122
NG028016 Odeda 0.4298
NG029013 Odigbo 0.6540
NG030025 Odo-Otin 0.0008
NG028017 Odogbolu 0.9621
NG009016 Odukpani 0.7672
NG024013 Offa 0.0001
NG023014 Ofu 0.8834
NG033016 Ogba/Egbema/Ndoni 0.2236
NG007015 Ogbadibo 0.1646
NG004016 Ogbaru 0.0354
NG006005 Ogbia 0.1186
NG031021 Ogbomosho North 0.3328
NG031022 Ogbomosho South 0.3606
NG031023 Ogo Oluwa 0.0855
NG009017 Ogoja 0.0004
NG023015 Ogori/Magongo 0.9812
NG033017 Ogu/Bolo 0.0135
NG028018 Ogun waterside 0.3340
NG017017 Oguta 0.0891
NG001010 Ohafia 0.4618
NG017018 Ohaji/Egbema 0.0750
NG011011 Ohaozara 0.7966
NG011012 Ohaukwu 0.3737
NG007016 Ohimini 0.5489
NG014014 Oji-River 0.0142
NG025017 Ojo 0.0292
NG007017 Oju 0.1621
NG024014 Oke-Ero 0.0000
NG023016 Okehi 0.7727
NG023017 Okene 0.5224
NG017019 Okigwe 0.0291
NG029014 Okitipupa 0.2407
NG003023 Okobo 0.6316
NG010013 Okpe 0.1752
NG007018 Okpokwu 0.5989
NG033018 Okrika 0.0194
NG030026 Ola-oluwa 0.1972
NG023018 Olamabolo 0.2764
NG030027 Olorunda 0.0120
NG031024 Olorunsogo 0.6473
NG031025 Oluyole 0.2966
NG023019 Omala 0.3751
NG033019 Omumma 0.4210
NG031026 Ona-Ara 0.4769
NG029015 Ondo East 0.0041
NG029016 Ondo West 0.0311
NG011013 Onicha 0.1739
NG004017 Onitsha North 0.0382
NG004018 Onitsha South 0.1192
NG003024 Onna 0.7188
NG033020 Opobo/Nkoro 0.2646
NG012012 Oredo 0.6646
NG031027 Orelope 0.7811
NG012013 Orhionmwon 0.0485
NG031028 Ori Ire 0.5973
NG030028 Oriade 0.0067
NG017020 Orlu 0.0282
NG030029 Orolu 0.2638
NG003025 Oron 0.4623
NG017021 Orsu 0.0694
NG017022 Oru East 0.1188
NG017023 Oru West 0.6748
NG003026 Oruk Anam 0.7895
NG004019 Orumba North 0.0607
NG004020 Orumba South 0.0549
NG029017 Ose 0.0421
NG010014 Oshimili North 0.0693
NG010015 Oshimili South 0.0365
NG025018 Oshodi-Isolo 0.1634
NG001011 Osisioma Ngwa 0.9694
NG030030 Osogbo 0.0584
NG007019 Oturkpo 0.8569
NG012014 Ovia North East 0.6874
NG012015 Ovia South West 0.1768
NG012016 Owan East 0.9620
NG012017 Owan West 0.9521
NG017026 Owerri-Municipal 0.5252
NG017024 Owerri North 0.0743
NG017025 Owerri West 0.3668
NG029018 Owo 0.2589
NG013016 Oye 0.6528
NG004021 Oyi 0.0531
NG033021 Oyigbo 0.3569
NG031029 Oyo East 0.5421
NG031030 Oyo West 0.5500
NG024015 Oyun 0.0000
NG027019 Paikoro 0.7003
NG032013 Pankshin 0.0010
NG010016 Patani 0.1789
NG024016 Pategi 0.1504
NG033022 Port-Harcourt 0.1064
NG036014 Potiskum 0.1519
NG032014 Qua'an Pan 0.0057
NG034012 Rabah 0.2253
NG027020 Rafi 0.2411
NG020032 Rano 0.9029
NG028019 Remo North 0.1754
NG027021 Rijau 0.6223
NG021030 Rimi 0.2178
NG020033 Rimin Gado 0.1331
NG018023 Ringim 0.9221
NG032015 Riyom 0.0123
NG020034 Rogo 0.7134
NG018024 Roni 0.9928
NG019019 Sabon-Gari 0.0000
NG034013 Sabon Birni 0.2911
NG021031 Sabuwa 0.0045
NG021032 Safana 0.9185
NG006006 Sagbama 0.0497
NG022016 Sakaba 0.3967
NG031031 Saki East 0.9325
NG031032 Saki West 0.8366
NG021033 Sandamu 0.3866
NG019020 Sanga 0.0076
NG010017 Sapele 0.2063
NG035011 Sardauna 0.2239
NG028020 Shagamu 0.6084
NG034014 Shagari 0.7454
NG022017 Shanga 0.7845
NG008027 Shani 0.7360
NG020035 Shanono 0.3037
NG002017 Shelleng 0.0092
NG032016 Shendam 0.0319
NG037011 Shinkafi 0.5049
NG005016 Shira 0.5625
NG027022 Shiroro 0.6114
NG016010 Shomgom 0.0204
NG025019 Shomolu 0.0393
NG034015 Silame 0.8555
NG019021 Soba 0.0008
NG034016 Sokoto North 0.6186
NG034017 Sokoto South 0.5293
NG002018 Song 0.0077
NG006007 Southern Ijaw 0.1512
NG018025 Sule-Tankarkar 0.0005
NG027023 Suleja 0.8762
NG020036 Sumaila 0.6777
NG022018 Suru 0.0223
NG025020 Surulere 0.0098
NG031033 Surulere 0.0010
NG027024 Tafa 0.2996
NG005017 Tafawa-Balewa 0.2444
NG033023 Tai 0.0243
NG020037 Takai 0.8236
NG035012 Takum 0.1606
NG037012 Talata Mafara 0.3930
NG034018 Tambuwal 0.7063
NG034019 Tangaza 0.6007
NG020038 Tarauni 0.4860
NG007020 Tarka 0.1216
NG036015 Tarmua 0.0445
NG018026 Taura 0.5412
NG020039 Tofa 0.1299
NG005018 Toro 0.5766
NG026012 Toto 0.2104
NG002019 Toungo 0.6618
NG037013 Tsafe 0.7937
NG020040 Tsanyawa 0.3728
NG020041 Tudun Wada 0.4267
NG034020 Tureta 0.1977
NG014015 Udenu 0.1671
NG014016 Udi 0.0091
NG010018 Udu 0.1317
NG003027 Udung Uko 0.4951
NG010019 Ughelli North 0.1065
NG010020 Ughelli South 0.0139
NG001012 Ugwunagbo 0.5399
NG012018 Uhunmwonde 0.7183
NG003028 Ukanafun 0.5947
NG007021 Ukum 0.0919
NG001013 Ukwa East 0.5737
NG001014 Ukwa West 0.2726
NG010021 Ukwuani 0.5949
NG001017 Umu-Nneochi 0.0394
NG001015 Umuahia North 0.2632
NG001016 Umuahia South 0.3978
NG020042 Ungogo 0.2272
NG017027 Unuimo 0.0903
NG003029 Uruan 0.5049
NG003030 Urue-Offong/Oruko 0.8091
NG007022 Ushongo 0.1168
NG035013 Ussa 0.0526
NG010022 Uvwie 0.0924
NG003031 Uyo 0.7910
NG014017 Uzo-Uwani 0.0402
NG007023 Vandeikya 0.0123
NG034021 Wamako 0.5191
NG026013 Wamba 0.1106
NG020043 Warawa 0.9995
NG005019 Warji 0.1396
NG010023 Warri North 0.2455
NG010024 Warri South 0.0316
NG010025 Warri South West 0.0971
NG022019 Wasagu/Danko 0.7594
NG032017 Wase 0.2408
NG020044 Wudil 0.8637
NG035014 Wukari 0.1118
NG034022 Wurno 0.6415
NG027025 Wushishi 0.8135
NG034023 Yabo 0.5548
NG023020 Yagba East 0.1843
NG023021 Yagba West 0.0000
NG009018 Yakurr 0.1374
NG009019 Yala 0.0274
NG016011 Yamaltu/Deba 0.0358
NG018027 Yankwashi 0.0885
NG022020 Yauri 0.4258
NG006008 Yenegoa 0.0982
NG002020 Yola North 0.1563
NG002021 Yola South 0.0171
NG035015 Yorro 0.2580
NG036016 Yunusari 0.0523
NG036017 Yusufari 0.1154
NG005020 Zaki 0.4375
NG021034 Zango 0.0614
NG019022 Zango-Kataf 0.0248
NG019023 Zaria 0.0000
NG035016 Zing 0.5526
NG037014 Zurmi 0.2935
NG022021 Zuru 0.4615Mapping the local Moran’s I
Before mapping the local Moran’s I map, it is wise to append the local Moran’s I dataframe (i.e. localMI) onto nga_wp SpatialPolygonDataFrame. The code chunks below can be used to perform the task. The out SpatialPolygonDataFrame is called nga_wp.localMI.
nga_wp.localMI <- cbind(nga_wp,localMI) %>%
rename(Pr.Ii = Pr.z....E.Ii..)Mapping local Moran’s I values
Using choropleth mapping functions of tmap package, we can plot the local Moran’s I values by using the code chinks below.
tm_shape(nga_wp.localMI) +
tm_fill(col = "Ii",
style = "pretty",
palette = "RdBu",
title = "Local Moran's Statistics") +
tm_borders(alpha = 0.5)
Mapping local Moran’s I p-values
The choropleth shows there is evidence for both positive and negative Ii values. However, it is useful to consider the p-values for each of these values, as considered above. The code chunks below produce a choropleth map of Moran’s I p-values by using functions of tmap package.
tm_shape(nga_wp.localMI) +
tm_fill(col = "Pr.Ii",
breaks=c(-Inf, 0.001, 0.01, 0.05, 0.1, Inf),
palette="-Blues",
title = "Local Moran's I p-values") +
tm_borders(alpha = 0.5)
Mapping both local Moran’s I values and p-values
For effective interpretation, it is better to plot both the local Moran’s I values map and its corresponding p-values map next to each other.
localMI.map <- tm_shape(nga_wp.localMI) +
tm_fill(col = "Ii",
style = "pretty",
title = "Local Moran's Statistics") +
tm_borders(alpha = 0.5) +
tm_layout(scale = 0.7)
pvalue.map <- tm_shape(nga_wp.localMI) +
tm_fill(col = "Pr.Ii",
breaks=c(-Inf, 0.001, 0.01, 0.05, 0.1, Inf),
palette="-Blues",
title = "Local Moran's I p-values") +
tm_borders(alpha = 0.5) +
tm_layout(scale = 0.7)
tmap_arrange(localMI.map, pvalue.map, asp=1, ncol=2)
Creating a LISA Cluster Map
The LISA Cluster Map shows the significant locations color coded by type of spatial autocorrelation. The first step before we can generate the LISA cluster map is to plot the Moran scatterplot.
Plotting Moran scatterplot
The Moran scatterplot is an illustration of the relationship between the values of the chosen attribute at each location and the average value of the same attribute at neighboring locations. The code chunk below plots the Moran scatterplot of non-functional water points by using moran.plot() of spdep.
nci <- moran.plot(nga_wp$`wpt non-functional`, rswm_q,
labels=as.character(nga_wp$ADM2_EN),
xlab="Non-functional Water Points",
ylab="Spatially Lag Non-functional Water Points")
Notice that the plot is split into 4 quadrants. The top right corner belongs to areas that have high numbers of non-functional water points and are surrounded by other areas that have the average numbers of non-functional water points. These are the high-high locations.
Plotting Moran scatterplot with standardised variable
The code below is used to plot the Moran scatterplot after applying scale() to centers and scales the variable wpt non-functional.
nga_wp$Z.NFWP <- scale(nga_wp$`wpt non-functional`) %>% as.vector
nci2 <- moran.plot(nga_wp$Z.NFWP, rswm_q,
labels=as.character(nga_wp$ADM2_EN),
xlab="z-Non-functional Water Points",
ylab="Spatially Lag z-Non-functional Water Points")
Preparing LISA map classes
The code chunks below shows the steps to prepare a LISA cluster map which involves the following:
To derive the spatially lagged variable of interest (i.e.
wpt non-functional) and center the spatially lagged variable around its meanTo center the local Moran's around the mean
To set a statistical significance level for the local Moran
To define the high-high, low-low, low-high and high-low categories
To places non-significant Moran in the category 0
quadrant <- vector(mode="numeric",length=nrow(localMI))
nga_wp$lag_NFWP <- lag.listw(rswm_q, nga_wp$`wpt non-functional`)
DV <- nga_wp$lag_NFWP - mean(nga_wp$lag_NFWP)
LM_I <- localMI[,1]
signif <- 0.05
quadrant[DV <0 & LM_I>0] <- 1
quadrant[DV >0 & LM_I<0] <- 2
quadrant[DV <0 & LM_I<0] <- 3
quadrant[DV >0 & LM_I>0] <- 4
quadrant[localMI[,5]>signif] <- 0Plotting LISA map
The code chunk below is used to build the LISA map.
nga_wp.localMI$quadrant <- quadrant
colors <- c("#ffffff", "#2c7bb6", "#abd9e9", "#fdae61", "#d7191c")
clusters <- c("insignificant", "low-low", "low-high", "high-low", "high-high")
tm_shape(nga_wp.localMI) +
tm_fill(col = "quadrant",
style = "cat",
palette = colors[c(sort(unique(quadrant)))+1],
labels = clusters[c(sort(unique(quadrant)))+1],
popup.vars = c("")) +
tm_view(set.zoom.limits = c(11,17)) +
tm_borders(alpha=0.5)
For effective interpretation, it is better to plot the choropleth map showing the non-functional water points distribution and the LISA map next to each other.
nfwpc <- qtm(nga_wp, "wpt non-functional") +
tm_layout(scale = 0.7)
nga_wp.localMI$quadrant <- quadrant
colors <- c("#ffffff", "#2c7bb6", "#abd9e9", "#fdae61", "#d7191c")
clusters <- c("insignificant", "low-low", "low-high", "high-low", "high-high")
LISAmap <- tm_shape(nga_wp.localMI) +
tm_fill(col = "quadrant",
style = "cat",
palette = colors[c(sort(unique(quadrant)))+1],
labels = clusters[c(sort(unique(quadrant)))+1],
popup.vars = c("")) +
tm_view(set.zoom.limits = c(11,17)) +
tm_borders(alpha=0.5) +
tm_layout(scale = 0.7)
tmap_arrange(nfwpc, LISAmap, asp=1, ncol=2)
We can see from the LISA map that there’s a high-high cluster indicating positive autocorrelation for the LGAs having adjacent high numbers of non-functional water points. There is also a low-high cluster indicating negative autocorrelation/outliers whereby those LGAs with low numbers of non-functional water points are surrounded by those with high numbers of non-functional water points